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TransNet

TransNet: A deep network for fast detection of common shot transitions

svt

Official repository for "Self-Supervised Video Transformer" (CVPR'22)

DIKI

[ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models

wesam

[CVPR 2024] Code for "Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation"

SAMed

The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"

sam-hq

Segment Anything in High Quality [NeurIPS 2023]

pascal-part-py

Helpers in python to manipulate the annotations of the Pascal-Part dataset.

semantic-PASCAL-Part

This is a curated semantic version of the PASCAL-Part dataset for part-based object detection. Objects are aligned with WordNet and Yago concepts. The dataset is both in PASCAL-Voc and RDF format.

MicroSeg

PromptKD

[CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"

Endo-FM

[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

Semantic-SAM

[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

TransNetV2

TransNet V2: Shot Boundary Detection Neural Network

DIGA

Official implementation for Dynamically Instance-Guided Adaptation: A Backward-free Approach for Test-Time Domain Adaptive Semantic Segmentation

BHYG

B站 会员购 抢票 脚本

tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

FSCILSS

Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge Distillation

FSS

Prototype-based Incremental Few-Shot Semantic Segmentation

ovsam

[arXiv preprint] The official code of paper "Open-Vocabulary SAM".

TF-Cholec80

Library packaging the Cholec80 dataset for easy handling with Tensorflow.

EAD2019

Github pages

M3D

M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

Sinus-Surgery-Endoscopic-Image-Datasets

Novel image segmentation datasets collected from endoscopic videos of sinus surgery processes

labeled-images-for-ulcerative-colitis

Codes to process and train LIMUC dataset

EndoSLAM

EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner

weakly-polyp

[MICCAI'22] Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.

pixel-lesion-patient-network

VideoMAE

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

PriViLege

[CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners

EPI

Code for the paper: Rehearsal-free Continual Language Learning via Efficient Parameter Isolation