Stars
The official homepage of the COCO-Stuff dataset.
Pointers to large-scale underwater datasets and relevant resources.
A summary of recent semi-supervised semantic segmentation methods
A summary of recent unsupervised semantic segmentation methods
CVPR 2024: AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
[ECCV'24] Official Implementation of SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
The official repo for "Unified Domain Adaptive Semantic Segmentation"
Code for <Domain Adaptive Video Segmentation via Temporal Consistency Regularization> in ICCV 2021
[ECCV 2022] Domain Adaptive Video Segmentation via Temporal Pseudo Supervision
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020
Unpaired Deep Image Deraining Using Dual Contrastive Learning (CVPR 2022)
Image-to-Image Translation in PyTorch
An implementation of paper "Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning" (CVPR19)
DerainZoo for collecting deraining methods, datasets, and codes.
This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"
The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"
[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model
【SCIS2021】A comprehensive survey on deraining. Keep updating
[ICCV 2023] Official repository for the paper "From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal".
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A collection of some datasets for segmentation / saliency detection. Welcome to PR...:smile:
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥