Official PyTorch code for the CVPR 2022 paper - Consistent Explanations by Contrastive Learning

Code for CVPR 2022 paper "Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation"

Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)

[CVPR 2022] Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

[CVPR 2022] CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation

PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets

SC-CAM: Weakly-Supervised Semantic Segmentation via Sub-category Exploration (CVPR 2020)

WSSS, Spatial-BCE

Learning to compose soft prompts for compositional zero-shot learning.