Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

(MICCAI 2021) Automatic Polyp Segmentation via Multi-scale Subtraction Network

RGB-T Crowd Counting from Drone: A Benchmark and MMCCN Network

Use python3 to convert depth image into hha image

polyp segmentation

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

The code of paper Asymmetric Cross-modality Interaction Network for RGB-D Salient Object Detection

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

Code release for the CVPR 2023 paper "Discriminative Co-Saliency and BG Mining Transformer for Co-Salient Object Detection"

Weakly Supervised RGB-D Salient Object Detection with Prediction Consistency Training and Active Scribble Boosting, in TIP 2022

salient object detection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection

Masked Vision-Language Transformer in Fashion

Implementation of Non-local Block.

PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis

(ECCV 2020 Oral) Suppress and Balance: A Simple Gated Network for Salient Object Detection

Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning, AAAI Conference on Artificial Intelligence (AAAI), 2022

[TGRS2022] [CorrNet] Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation

[TCYB2022] [ACCoNet] Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images