mk-minchul / attend-and-compareLinks
☆27Updated 2 years ago
Alternatives and similar repositories for attend-and-compare
Users that are interested in attend-and-compare are comparing it to the libraries listed below
Sorting:
- Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation, CVPR 2020☆105Updated 4 years ago
- ☆89Updated 3 years ago
- Official Implementation of "PsyNet: Self-supervised Approach to Object Localization Using Point Symmetric Transformation"☆25Updated 2 years ago
- Batch-Instance Normalization (BIN)☆78Updated 5 years ago
- The pytorch implementation of self-supervised scale equivariant network for weakly supervised semantic segmentation.☆101Updated 5 years ago
- Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019☆71Updated 5 years ago
- PyTorch Implementation of Spatially Consistent Representation Learning(SCRL)☆108Updated last year
- Implementation of "Co-attention CNNs for Unsupervised Object Co-segmentation" paper☆17Updated 5 years ago
- Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.☆115Updated last year
- PyTorch code for our paper : "SRM : A Style-based Recalibration Module for Convolutional Neural Networks" (https://arxiv.org/abs/1903.108…☆60Updated 6 years ago
- MoEx (Moment Exchange)☆141Updated 4 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 3 years ago
- Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]☆119Updated 5 years ago
- DANet: Divergent Activation for Weakly Supervised Object Localization，in ICCV 2019☆63Updated 4 years ago
- Implementation for our paper exploring a novel 2D adaptive attention span kernel in computer vision.☆35Updated last year
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 5 years ago
- Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)☆158Updated 3 years ago
- Class Activation Map(CAM) with Pytorch☆66Updated 5 years ago
- (ECCV2020) Inter-Image Communication for Weakly Supervised Localization☆30Updated 4 years ago
- ☆69Updated 4 years ago
- [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization☆48Updated 3 years ago
- Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)☆197Updated 5 years ago
- Reducing Domain Gap by Reducing Style Bias (SagNets)☆102Updated 4 years ago
- Pytorch Implementation of PermutedAdaIN☆36Updated 4 years ago
- Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (CVPR 2021)☆131Updated 3 years ago
- [ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation☆94Updated last year
- Official Tensorflow implementation of "Symmetrical Synthesis for Deep Metric Learning" (AAAI 2020)☆71Updated 3 years ago
- Weakly Supervised Object Localization Papers☆167Updated 2 years ago
- Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics. In CVPR, 2020.☆15Updated 5 years ago
- ☆81Updated 2 years ago