ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills
Github: https://github.com/haosulab/ManiSkill
Paper: https://arxiv.org/abs/2107.14483v1
@ArtificialIntelligencedl
Github: https://github.com/haosulab/ManiSkill
Paper: https://arxiv.org/abs/2107.14483v1
@ArtificialIntelligencedl
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☑️ CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
Github: https://github.com/indyfree/CARLA
Paper: https://arxiv.org/abs/2108.00783v1
@ArtificialIntelligencedl
Github: https://github.com/indyfree/CARLA
Paper: https://arxiv.org/abs/2108.00783v1
@ArtificialIntelligencedl
📥 Toward Spatially Unbiased Generative Models
Github: https://github.com/jychoi118/toward_spatial_unbiased
Paper: https://arxiv.org/abs/2108.01285v1
@ArtificialIntelligencedl
Github: https://github.com/jychoi118/toward_spatial_unbiased
Paper: https://arxiv.org/abs/2108.01285v1
@ArtificialIntelligencedl
👁 A Pragmatic Look at Deep Imitation Learning
Github: https://github.com/Kaixhin/imitation-learning
Paper: https://arxiv.org/abs/2108.01867v1
@ArtificialIntelligencedl
Github: https://github.com/Kaixhin/imitation-learning
Paper: https://arxiv.org/abs/2108.01867v1
@ArtificialIntelligencedl
GitHub
GitHub - Kaixhin/imitation-learning: Imitation learning algorithms
Imitation learning algorithms. Contribute to Kaixhin/imitation-learning development by creating an account on GitHub.
▪️ Foundation: An Economic Simulation Framework
Github: https://github.com/salesforce/ai-economist
Paper: https://arxiv.org/abs/2108.02755v1
@ArtificialIntelligencedl
Github: https://github.com/salesforce/ai-economist
Paper: https://arxiv.org/abs/2108.02755v1
@ArtificialIntelligencedl
👁 Improving Contrastive Learning by Visualizing Feature Transformation
Github: https://github.com/DTennant/CL-Visualizing-Feature-Transformation
Paper: https://arxiv.org/abs/2108.02982
@ArtificialIntelligencedl
Github: https://github.com/DTennant/CL-Visualizing-Feature-Transformation
Paper: https://arxiv.org/abs/2108.02982
@ArtificialIntelligencedl
🔎 Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
Github: https://github.com/xinntao/Real-ESRGAN
Paper: https://arxiv.org/abs/2107.10833v1
How to Train Real-ESRGAN: https://github.com/xinntao/Real-ESRGAN/blob/master/Training.md
Colab Demo: https://colab.research.google.com/drive/1sVsoBd9AjckIXThgtZhGrHRfFI6UUYOo
@ArtificialIntelligencedl
Github: https://github.com/xinntao/Real-ESRGAN
Paper: https://arxiv.org/abs/2107.10833v1
How to Train Real-ESRGAN: https://github.com/xinntao/Real-ESRGAN/blob/master/Training.md
Colab Demo: https://colab.research.google.com/drive/1sVsoBd9AjckIXThgtZhGrHRfFI6UUYOo
@ArtificialIntelligencedl
👁 AutoVideo: An Automated Video Action Recognition System
Github: https://github.com/datamllab/autovideo
Paper: https://arxiv.org/abs/2108.04212v1
@ArtificialIntelligencedl
Github: https://github.com/datamllab/autovideo
Paper: https://arxiv.org/abs/2108.04212v1
@ArtificialIntelligencedl
🌅 Domain Aware Universal Style Transfer
Github: https://github.com/kibeom-hong/domain-aware-style-transfer
Paper: https://arxiv.org/abs/2108.04441
@ArtificialIntelligencedl
Github: https://github.com/kibeom-hong/domain-aware-style-transfer
Paper: https://arxiv.org/abs/2108.04441
@ArtificialIntelligencedl
🔍 Contrastive Sensor Fusion
Github: https://github.com/descarteslabs/contrastive_sensor_fusion
Paper: https://arxiv.org/abs/2108.05094v1
@ArtificialIntelligencedl
Github: https://github.com/descarteslabs/contrastive_sensor_fusion
Paper: https://arxiv.org/abs/2108.05094v1
@ArtificialIntelligencedl
🤖 Vision-Language Transformer and Query Generation for Referring Segmentation
Github: https://github.com/henghuiding/Vision-Language-Transformer
Paper: https://arxiv.org/abs/2108.05565v1
Dataset: https://paperswithcode.com/dataset/refcoco
@ArtificialIntelligencedl
Github: https://github.com/henghuiding/Vision-Language-Transformer
Paper: https://arxiv.org/abs/2108.05565v1
Dataset: https://paperswithcode.com/dataset/refcoco
@ArtificialIntelligencedl
Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation
Github: https://github.com/antabangun/coex
Paper: https://arxiv.org/abs/2108.05773v1
Project: https://antabangun.github.io/projects/CoEx/#demo
@ArtificialIntelligencedl
Github: https://github.com/antabangun/coex
Paper: https://arxiv.org/abs/2108.05773v1
Project: https://antabangun.github.io/projects/CoEx/#demo
@ArtificialIntelligencedl
Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation
Github: https://github.com/crockwell/pixelsynth
Paper: https://arxiv.org/abs/2108.05892v1
@ArtificialIntelligencedl
Github: https://github.com/crockwell/pixelsynth
Paper: https://arxiv.org/abs/2108.05892v1
@ArtificialIntelligencedl
Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems
Github: https://github.com/openvinotoolkit/training_extensions
Paper: https://arxiv.org/abs/2108.07049v1
@ArtificialIntelligencedl
Github: https://github.com/openvinotoolkit/training_extensions
Paper: https://arxiv.org/abs/2108.07049v1
@ArtificialIntelligencedl
👎1
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
Github: https://github.com/DengPingFan/Polyp-PVT
Paper: https://arxiv.org/abs/2108.06932v1
@ArtificialIntelligencedl
Github: https://github.com/DengPingFan/Polyp-PVT
Paper: https://arxiv.org/abs/2108.06932v1
@ArtificialIntelligencedl
🔗 A Unified Objective for Novel Class Discovery
Github: https://github.com/DonkeyShot21/UNO
Paper: https://arxiv.org/abs/2108.08536v2
Dataset: https://paperswithcode.com/dataset/cifar-100
Github: https://github.com/DonkeyShot21/UNO
Paper: https://arxiv.org/abs/2108.08536v2
Dataset: https://paperswithcode.com/dataset/cifar-100
🌐 InsightFace: 2D and 3D Face Analysis Project
Github: https://github.com/deepinsight/insightface
Paper: https://arxiv.org/abs/2108.08191v1
Project: https://insightface.ai/projects
@ArtificialIntelligencedl
Github: https://github.com/deepinsight/insightface
Paper: https://arxiv.org/abs/2108.08191v1
Project: https://insightface.ai/projects
@ArtificialIntelligencedl
💡 X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics
Github: https://github.com/yehli/xmodaler
Paper: https://arxiv.org/abs/2108.08217v1
Project: https://xmodaler.readthedocs.io/en/latest/
@ArtificialIntelligencedl
Github: https://github.com/yehli/xmodaler
Paper: https://arxiv.org/abs/2108.08217v1
Project: https://xmodaler.readthedocs.io/en/latest/
@ArtificialIntelligencedl
Forwarded from Machinelearning
🎩 Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval
Mr. TyDi is a multi-lingual benchmark dataset built on TyDi, covering eleven typologically diverse languages.
Github: https://github.com/castorini/mr.tydi
Paper: https://arxiv.org/abs/2108.08787
Tasks: https://paperswithcode.com/task/representation-learning
@ai_machinelearning_big_data
Mr. TyDi is a multi-lingual benchmark dataset built on TyDi, covering eleven typologically diverse languages.
Github: https://github.com/castorini/mr.tydi
Paper: https://arxiv.org/abs/2108.08787
Tasks: https://paperswithcode.com/task/representation-learning
@ai_machinelearning_big_data
❤1
🧍♂ D3D-HOI: Dynamic 3D Human-Object Interactions from Videos
Github: https://github.com/facebookresearch/d3d-hoi
Paper: https://arxiv.org/abs/2108.08420v1
Dataset: https://dl.fbaipublicfiles.com/d3d-hoi/d3dhoi_video_data.zip
@ArtificialIntelligencedl
Github: https://github.com/facebookresearch/d3d-hoi
Paper: https://arxiv.org/abs/2108.08420v1
Dataset: https://dl.fbaipublicfiles.com/d3d-hoi/d3dhoi_video_data.zip
@ArtificialIntelligencedl
GitHub
GitHub - facebookresearch/d3d-hoi: We create D3D-HOI a dataset of monocular videos with ground truth annotations of 3D object pose…
We create D3D-HOI a dataset of monocular videos with ground truth annotations of 3D object pose and part motion during human-object interaction. - facebookresearch/d3d-hoi
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation
Github: https://github.com/hanchaoleng/shapeconv
Paper: https://arxiv.org/abs/2108.10528v1
@ArtificialIntelligencedl
Github: https://github.com/hanchaoleng/shapeconv
Paper: https://arxiv.org/abs/2108.10528v1
@ArtificialIntelligencedl
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