Iterative Filter Adaptive Network for Single Image Defocus Deblurring
Github: https://github.com/codeslake/IFAN
Paper: https://arxiv.org/abs/2108.13610v1
@ArtificialIntelligencedl
Github: https://github.com/codeslake/IFAN
Paper: https://arxiv.org/abs/2108.13610v1
@ArtificialIntelligencedl
🔎 Efficient Person Search: An Anchor-Free Approach.
Github: https://github.com/daodaofr/AlignPS
Paper: https://arxiv.org/abs/2109.00211v1
Dataset: https://paperswithcode.com/dataset/cuhk-sysu
@ArtificialIntelligencedl
Github: https://github.com/daodaofr/AlignPS
Paper: https://arxiv.org/abs/2109.00211v1
Dataset: https://paperswithcode.com/dataset/cuhk-sysu
@ArtificialIntelligencedl
🌝🌚 PyGCL: Graph Contrastive Learning for PyTorch
Github: https://github.com/GraphCL/PyGCL
Paper: https://arxiv.org/abs/2109.01116v1
@ArtificialIntelligencedl
Github: https://github.com/GraphCL/PyGCL
Paper: https://arxiv.org/abs/2109.01116v1
@ArtificialIntelligencedl
👁 NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
Github: https://github.com/weiyithu/nerfingmvs
Paper: https://arxiv.org/abs/2109.01129v1
Project: https://weiyithu.github.io/NerfingMVS
@ArtificialIntelligencedl
Github: https://github.com/weiyithu/nerfingmvs
Paper: https://arxiv.org/abs/2109.01129v1
Project: https://weiyithu.github.io/NerfingMVS
@ArtificialIntelligencedl
Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation
Github: https://github.com/lhryang/crl_egpg
Paper: https://arxiv.org/abs/2109.01484v1
@ArtificialIntelligencedl
Github: https://github.com/lhryang/crl_egpg
Paper: https://arxiv.org/abs/2109.01484v1
@ArtificialIntelligencedl
Learning Neural Causal Models with Active Interventions
Github: https://github.com/nke001/causal_learning_unknown_interventions
Paper: https://arxiv.org/abs/2109.02429v1
@ArtificialIntelligencedl
Github: https://github.com/nke001/causal_learning_unknown_interventions
Paper: https://arxiv.org/abs/2109.02429v1
@ArtificialIntelligencedl
📹 CTRL-C: Camera calibration TRansformer with Line-Classification
Github: https://github.com/jwlee-vcl/ctrl-c
Paper: https://arxiv.org/abs/2109.02259v1
Dataset: https://drive.google.com/file/d/1opDR_j-9y4TY82ZscBb-xYAoMkTocAOp/view
@ArtificialIntelligencedl
Github: https://github.com/jwlee-vcl/ctrl-c
Paper: https://arxiv.org/abs/2109.02259v1
Dataset: https://drive.google.com/file/d/1opDR_j-9y4TY82ZscBb-xYAoMkTocAOp/view
@ArtificialIntelligencedl
This media is not supported in your browser
VIEW IN TELEGRAM
🚗 NEAT: Neural Attention Fields for End-to-End Autonomous Driving
Github: https://github.com/autonomousvision/neat
Paper: https://arxiv.org/abs/2109.04456v1
Dataset: https://paperswithcode.com/dataset/carla
@ArtificialIntelligencedl
Github: https://github.com/autonomousvision/neat
Paper: https://arxiv.org/abs/2109.04456v1
Dataset: https://paperswithcode.com/dataset/carla
@ArtificialIntelligencedl
Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions
Github: https://github.com/aliannejadi/ClariQ
Paper: https://arxiv.org/abs/2109.05794v1
Dataset: https://paperswithcode.com/dataset/qulac
@ArtificialIntelligencedl
Github: https://github.com/aliannejadi/ClariQ
Paper: https://arxiv.org/abs/2109.05794v1
Dataset: https://paperswithcode.com/dataset/qulac
@ArtificialIntelligencedl
✅ AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
Github: https://github.com/alibaba/AliceMind
Paper: https://arxiv.org/abs/2109.05687v1
Dataset: https://paperswithcode.com/dataset/glue
@ArtificialIntelligencedl
Github: https://github.com/alibaba/AliceMind
Paper: https://arxiv.org/abs/2109.05687v1
Dataset: https://paperswithcode.com/dataset/glue
@ArtificialIntelligencedl
DensePhrases is an extractive phrase search tool based on your natural language inputs
Github: https://github.com/princeton-nlp/DensePhrases
Paper: https://arxiv.org/abs/2109.08133v1
Dataset: https://paperswithcode.com/dataset/squad
@ArtificialIntelligencedl
Github: https://github.com/princeton-nlp/DensePhrases
Paper: https://arxiv.org/abs/2109.08133v1
Dataset: https://paperswithcode.com/dataset/squad
@ArtificialIntelligencedl
🌳 WildWood: a new Random Forest algorithm
Github: https://github.com/pyensemble/wildwood
Paper: https://arxiv.org/abs/2109.08010v1
Documentation: https://wildwood.readthedocs.io/
@ArtificialIntelligencedl
Github: https://github.com/pyensemble/wildwood
Paper: https://arxiv.org/abs/2109.08010v1
Documentation: https://wildwood.readthedocs.io/
@ArtificialIntelligencedl
👍1
❓ Simple Entity-Centric Questions Challenge Dense Retrievers
Github: https://github.com/princeton-nlp/entityquestions
Paper: https://arxiv.org/abs/2109.08535v1
Dataset: https://paperswithcode.com/dataset/natural-questions
@ArtificialIntelligencedl
Github: https://github.com/princeton-nlp/entityquestions
Paper: https://arxiv.org/abs/2109.08535v1
Dataset: https://paperswithcode.com/dataset/natural-questions
@ArtificialIntelligencedl
GitHub
GitHub - princeton-nlp/EntityQuestions: EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers https://arxiv.o…
EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers https://arxiv.org/abs/2109.08535 - princeton-nlp/EntityQuestions
💡 Asymmetric 3D Context Fusion for Universal Lesion Detection
Github: https://github.com/M3DV/AlignShift
Paper: https://arxiv.org/pdf/2109.08684v1.pdf
@ArtificialIntelligencedl
Github: https://github.com/M3DV/AlignShift
Paper: https://arxiv.org/pdf/2109.08684v1.pdf
@ArtificialIntelligencedl
Dynamic Slimmable Network (DS-Net)
Github: https://github.com/M3DV/AlignShift
Paper: https://arxiv.org/abs/2109.10060v1
@ArtificialIntelligencedl
Github: https://github.com/M3DV/AlignShift
Paper: https://arxiv.org/abs/2109.10060v1
@ArtificialIntelligencedl
✅ Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing
Github: https://github.com/microsoft/ContextualSP
Paper: https://arxiv.org/abs/2109.10540v1
@ArtificialIntelligencedl
Github: https://github.com/microsoft/ContextualSP
Paper: https://arxiv.org/abs/2109.10540v1
@ArtificialIntelligencedl
Hierarchical Memory Matching Network for Video Object Segmentation
Github: https://github.com/hongje/hmmn
Paper: https://arxiv.org/abs/2109.11404v1
Dataset: https://paperswithcode.com/dataset/davis-2016
@ArtificialIntelligencedl
Github: https://github.com/hongje/hmmn
Paper: https://arxiv.org/abs/2109.11404v1
Dataset: https://paperswithcode.com/dataset/davis-2016
@ArtificialIntelligencedl
Deep Social Force
Github: https://github.com/svenkreiss/socialforce
Paper: https://arxiv.org/abs/2109.12081v1
@ArtificialIntelligencedl
Github: https://github.com/svenkreiss/socialforce
Paper: https://arxiv.org/abs/2109.12081v1
@ArtificialIntelligencedl
TSM: Temporal Shift Module for Efficient Video Understanding
Github: https://github.com/MIT-HAN-LAB/temporal-shift-module
Paper: https://arxiv.org/abs/1811.08383
Demo: https://www.youtube.com/watch?v=0T6u7S_gq-4
@ArtificialIntelligencedl
Github: https://github.com/MIT-HAN-LAB/temporal-shift-module
Paper: https://arxiv.org/abs/1811.08383
Demo: https://www.youtube.com/watch?v=0T6u7S_gq-4
@ArtificialIntelligencedl
TSM: Temporal Shift Module for Efficient Video Understanding
Github: https://github.com/nikitakit/self-attentive-parser
Paper: https://arxiv.org/abs/2109.12814v1
Dataset: https://paperswithcode.com/dataset/penn-treebank
@ArtificialIntelligencedl
Github: https://github.com/nikitakit/self-attentive-parser
Paper: https://arxiv.org/abs/2109.12814v1
Dataset: https://paperswithcode.com/dataset/penn-treebank
@ArtificialIntelligencedl
Towards Flexible Blind JPEG Artifacts Removal
Github: https://github.com/jiaxi-jiang/fbcnn
Paper: https://arxiv.org/abs/2109.14573v1
@ArtificialIntelligencedl
Github: https://github.com/jiaxi-jiang/fbcnn
Paper: https://arxiv.org/abs/2109.14573v1
@ArtificialIntelligencedl