This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).

Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)

A paper list of state-of-the-art weakly supervised object detection or localization.

(ECCV2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

(CVPR2022) ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization

Learning hierarchical attention for weakly-supervised chest X-ray abnormality localization and diagnosis

PyTorch implementation of "Learning Deep Features for Discriminative Localization"

[ICCV 2021] Official PyTorch implementation for "D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations"

This repository contains the code implementation used in the paper: "Image Labels Are All You Need for Coarse Seagrass Segmentation"

papers and codes about temporal action localization

Explaination of the scripts and the folders of the project