This repository is the official implementation of "Large Selective Kernel Network for Remote Sensing Object Detection".
🖥 Github: https://github.com/zcablii/Large-Selective-Kernel-Network
⏩ Paper: https://arxiv.org/abs/2303.09030v1
💨 Dataset: https://paperswithcode.com/dataset/hrsc2016
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Imitating Graph-Based Planning with Goal-Conditioned Policies
🖥 Github: https://github.com/junsu-kim97/pig
⏩ Paper: https://arxiv.org/abs/2303.11166v1
💨 Dataset: https://paperswithcode.com/dataset/mujoco
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Learning A Sparse Transformer Network for Effective Image Deraining (CVPR 2023)
🖥 Github: https://github.com/cschenxiang/drsformer
⏩ Paper: https://arxiv.org/abs/2303.11950v1
💨 Dataset: https://pan.baidu.com/s/1rTb4qU3fCEA4MRpQss__DA?pwd=s2yx
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Causica
Causica is a deep learning library for end-to-end causal inference, including both causal discovery and inference.
🖥 Github: https://github.com/microsoft/causica
⏩ Paper: https://arxiv.org/abs/2303.12703v1
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Causica is a deep learning library for end-to-end causal inference, including both causal discovery and inference.
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From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels
🖥 Github: https://github.com/yzd-v/cls_KD
⏩ Paper: https://arxiv.org/abs/2303.13005v1
💨 Dataset: https://paperswithcode.com/dataset/cifar-100
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Human Guided Ground-truth Generation for Realistic Image Super-resolution
🖥 Github: https://github.com/chrisdud0257/hggt
⏩ Paper: https://arxiv.org/abs/2303.13069
💨 Dataset: https://paperswithcode.com/dataset/div2k
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🌎 Planning Goals for Exploration
🖥 Github: https://github.com/penn-pal-lab/peg
⏩ Paper: https://arxiv.org/abs/2303.13002v1
💨 Colab: https://colab.research.google.com/drive/1mbr8HHjWAhTQHUP2Y-QOgByuOOXBpusD?usp=sharing
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StereoScene: BEV-Assisted Stereo Matching Empowers 3D Semantic Scene Completion
🖥 Github: https://github.com/Arlo0o/StereoScene
⏩ Paper: https://arxiv.org/abs/2303.13959v1
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3D-Aware Multi-Class Image-to-Image Translation with NeRFs
🖥 Github: https://github.com/sen-mao/3di2i-translation
⏩ Paper: https://arxiv.org/abs/2303.15012v1
💨 Dataset: https://paperswithcode.com/dataset/afhq
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qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization
🖥 Github: https://github.com/facebookresearch/qeubo
⏩ Paper: https://arxiv.org/abs/2303.15746v1
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Novel View Synthesis of Humans using Differentiable Rendering
🖥 Github: https://github.com/guillaumerochette/humanviewsynthesis
⏩ Paper: https://arxiv.org/abs/2303.15880v1
💨 Dataset: https://paperswithcode.com/dataset/afhq
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Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-optimization
🖥 Github: https://github.com/lettucecfd/lettuce
⏩ Paper: https://arxiv.org/abs/2303.15896v1
💨 Video: https://www.youtube.com/watch?v=7nVCuuZDCYA
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Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation
🖥 Github: https://github.com/hikvision-research/3dvision
⏩ Paper: https://arxiv.org/abs/2303.17167v1
💨 Dataset: https://paperswithcode.com/dataset/scenenn
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ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
🖥 Github: https://github.com/alibaba/easyrobust/tree/main/benchmarks/imagenet-e
⏩ Paper: https://arxiv.org/abs/2303.17096v1
💨 Dataset: https://paperswithcode.com/dataset/objectnet
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Zero-shot Referring Image Segmentation with Global-Local Context Features
🖥 Github: https://github.com/seonghoon-yu/zero-shot-ris
⏩ Paper: https://arxiv.org/pdf/2303.17811v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/coco
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CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society
🖥 Github: https://github.com/lightaime/camel
⏩ Paper: https://arxiv.org/pdf/2303.17760v1.pdf
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Procedure-Aware Pretraining for Instructional Video Understanding
🖥 Github: https://github.com/salesforce/paprika
⏩ Paper: https://arxiv.org/pdf/2303.18230v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/howto100m
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♾-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
🖥 Github: https://github.com/samb-t/infty-diff
⏩ Paper: https://arxiv.org/pdf/2303.18242v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/ffhq
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Adaptive Sparse Pairwise Loss for Object Re-Identification
🖥 Github: https://github.com/astaxanthin/adasp
⏩ Paper: https://arxiv.org/pdf/2303.18247v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/market-1501
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CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X
🖥 Github: https://github.com/THUDM/CodeGeeX
⏩ Paper: https://arxiv.org/pdf/2303.17568v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/humaneval-x
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