Highlights
- Pro
Starred repositories
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
Official code for "SIRS: Multi-task Joint Learning for Remote Sensing Foreground-entity Image-text Retrieval" TGRS2024
Code of paper “Transcending Fusion A Multi Scale Alignment Method for Remote Sensing Image Text Retrieval”
A Prior Instruction Representation Framework for Remote Sensing Image-text Retrieval (MM'23 Oral)
🎮 A Benchmark and Awesome Collection of Methods for Remote Sensing Image-Text Retrieval (RSITR)| Remote Sensing Cross-Model Retrieval (RSCMR) | Remote Sensing Vision-Lanuage Models (RSVLMs)
Parameter-Efficient Transfer Learning for Remote Sensing Image-Text Retrieval, 2023
🧀 [ACMMM'23 Oral] Official Code for “A Prior Instruction Representation Framework for Remote Sensing Image-text Retrieval”
📖 Official Code for “PIR-CLIP: Remote Sensing Image-text Retrieval with Prior Instruction Representation Learning”
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
Collection of awesome test-time (domain/batch/instance) adaptation methods
Official JAX implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
[CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
[ECCV2024] VideoMamba: State Space Model for Efficient Video Understanding
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.
PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Workshop on Federated Learning for Computer Vision (FedVision).
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
PyTorch implementation of RCG https://arxiv.org/abs/2312.03701
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets (CLIP-M3)
Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"
[NeurIPS 2023]DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models