wzhings / itmAFA
This repo is for the implementation of Enhancing Image-Text Matching with Adaptive Feature Aggregation, ICASSP 2024
☆9Updated 9 months ago
Alternatives and similar repositories for itmAFA:
Users that are interested in itmAFA are comparing it to the libraries listed below
- Source code of our AAAI 2024 paper "Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval"☆35Updated last year
- The code of the paper "Negative Pre-aware for Noisy Cross-modal Matching" in AAAI 2024.☆23Updated 10 months ago
- Cross-modal Active Complementary Learning with Self-refining Correspondence (NeurIPS 2023, Pytorch Code)☆15Updated 9 months ago
- The code of "Image-text Retrieval via Preserving Main Semantic of Vision" in ICME 2023.☆13Updated last year
- ☆46Updated last year
- [TIP2023] The code of “Plug-and-Play Regulators for Image-Text Matching”☆32Updated 11 months ago
- ☆24Updated 6 months ago
- USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval, TIP 2024☆29Updated last year
- ☆13Updated 10 months ago
- This is a summary of research on noisy correspondence. There may be omissions. If anything is missing please get in touch with us. Our em…☆56Updated last week
- AMC: Adaptive Multi-expert Collaborative Network for Text-guided Image Retrieval☆16Updated 7 months ago
- A comprehensive survey of Composed Multi-modal Retrieval (CMR), including Composed Image Retrieval (CIR) and Composed Video Retrieval (CV…☆22Updated 3 weeks ago
- Codes of the Fine-grained Textual Inversion network for Zero-Shot Composed Image Retrieval☆20Updated 7 months ago
- [SIGIR 2024] - Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval☆31Updated 8 months ago
- ☆30Updated last year
- [ACM MM 2024] Hierarchical Multimodal Fine-grained Modulation for Visual Grounding.☆43Updated 3 weeks ago
- A collection of papers, datasets, benchmarks, code, and model weights for Remote Sensing Cross-Modal Image-Text Retrieval (RSCMIT).☆12Updated last month
- The code of MGCC: Text-based Occluded Person Re-identification via Multi-Granularity Contrastive Consistency Learning☆15Updated last month
- Implementation of our paper, 'Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval.'☆22Updated last year
- 【ICLR 2024, Spotlight】Sentence-level Prompts Benefit Composed Image Retrieval☆80Updated 11 months ago
- Code and Dataset for the paper "LAMM: Label Alignment for Multi-Modal Prompt Learning" AAAI 2024☆32Updated last year
- ☆18Updated 6 months ago
- Summary of Related Research on Image-Text Matching☆70Updated last year
- Code for Modeling Thousands of Human Annotators for Generalizable Text-to-Image Person Re-identification (CVPR2025)☆11Updated 3 weeks ago
- PyTorch implementation for Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining (TIP 2024)☆14Updated last year
- The official implementation of paper "Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval" accepted by NeurIPS…☆24Updated 10 months ago
- Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval ( ACM Multimedia 2022, Pytorch Code)☆43Updated last year
- ☆9Updated last year
- Word4Per is an innovative framework for Zero-Shot Composed Person Retrieval (ZS-CPR), integrating visual and textual information for enha…☆20Updated 3 months ago
- [NeurIPS 2024] Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models☆34Updated 5 months ago