Stars
This repository contains the official implementation code of NeurIPS 2025 paper: "Instance-Level Composed Image Retrieval".
Repository of the paper "AnyUp: Universal Feature Upsampling".
Curate, Annotate, and Manage Your Data in LightlyStudio.
A beautiful, simple, clean, and responsive Jekyll theme for academics
Official Implementation of "CAT-Seg🐱: Cost Aggregation for Open-Vocabulary Semantic Segmentation"
Repository for "Processing and acquisition traces in visual encoders: What does CLIP know about your camera?"
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
Framework for computationally efficient training of universal image feature extraction models.
[ICML'24 Oral] "MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions"
Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)
This repository contains the code, data, and models from the paper Vladan Stojnić, Zakaria Laskar, Giorgos Tolias, "Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning"…
Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"
ICCV 2023 Paper Global Features are All You Need for Image Retrieval and Reranking Official Repository
Official implementation of Character Region Awareness for Text Detection (CRAFT)
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
Corruption and Perturbation Robustness (ICLR 2019)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers
A large-scale dataset for instance-level recognition for artworks is introduced.
Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.