[CVPR2024]Day-Night Cross-domain Vehicle Re-identification
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Updated
Jul 2, 2024 - Python
[CVPR2024]Day-Night Cross-domain Vehicle Re-identification
Update-to-data resources for conditional content generation, including human motion generation, image or video generation and editing.
This repository contains the official code for "Flexible Biometrics Recognition: Bridging the Multimodality Gap through Attention, Alignment and Prompt Tuning," presented at CVPR 2024.
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
a state-of-the-art-level open visual language model | 多模态预训练模型
Official Pytorch implementation of CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues.
A New Strong and Simple Baseline Method for VI-ReID (Bridging the Gap: Multi-level Cross-modality Joint Alignment for Visible-infrared Person Re-identification)
[ICME 2024] VRHCF: Cross-Source Point Cloud Registration via Voxel Representation and Hierarchical Correspondence Filtering
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
[CVPR 2023] Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
[AAAI 2022] Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics.
Co-Separating Sounds of Visual Objects (ICCV 2019)
PyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.
TOMM2020 Dual-Path Convolutional Image-Text Embedding 🐾 https://arxiv.org/abs/1711.05535
[CVPR2023] The code for 《Position-guided Text Prompt for Vision-Language Pre-training》
Pytorch code for Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification
Code for the WWW'20 paper "Nowhere to Hide: Cross-modal Identity Leakage between Biometrics and Devices"
Official implementation of "A Knowledge Distillation Framework for Enhancing Ear-EEG based Sleep Staging with Scalp-EEG Data"
Awesome Cross-modality Person Re-identification
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