A curated publication list on open vocabulary semantic segmentation and related area (e.g. zero-shot semantic segmentation) resources..

[CVPR 2022] Official code for "RegionCLIP: Region-based Language-Image Pretraining"

NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation

A Pytorch implementation of CVPR 2022 paper "Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation"

ISBI 2022: Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation.

The official repo for [MIDL'23 Oral] "Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation"

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

[Neurocomputing 2023] An official implementation of Achieving Domain Generalization in Underwater Object Detection by Domain Mixup and Contrastive Learning

Dataset of the paper "Underwater Species Detection using Channel Sharpening Attention".

[ICIP2020] TOWARDS DOMAIN GENERALIZATION IN UNDERWATER OBJECT DETECTION

Underwater Object Detection [Optical]

Semi-supervised Medical Image Segmentation through Dual-task Consistency

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Y-Net: A Spatiospectral Dual-Encoder Networkfor Medical Image Segmentation (MICCAI 2022)

[IJCAI' 22] Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation.

Computer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets…

Detecting face masks using Python, Keras, OpenCV on real video streams

License Plate Detection and Recognition in Unconstrained Scenarios

Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

[ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"

[TMI'20] Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model

[MIA'20] Semi-supervised WCE Image Classification with Adaptive Aggregated Attention