-
FPT AI Centre
- Ha Noi
-
06:40
(UTC +07:00) - https://pdt0609.github.io/
Stars
[ICCV 2025] MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance
AI agents running research on single-GPU nanochat training automatically
Open-source framework for holistic, structured repository-level documentation across multilingual codebases
Pytorch implementation of convolutional neural network visualization techniques
[CVPR 2025] DEIM: DETR with Improved Matching for Fast Convergence
OpenRSD: Towards Open-Prompt Object Detection in Remote Sensing
[ACL 2025] Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction
This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
Official implementation of the paper: Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction
Implementation of Switch Transformers from the paper: "Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity"
This repo contains the code for "VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks" [ICLR 2025]
PyTorch Implementation of the CVPR'25 Paper "Fitted Neural Lossless Image Compression"
A curated list for Efficient Large Language Models
[ICLR 2026] RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning.
[ECCV'24/IJCV'26] Code repo for "Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning"
The source code of paper LearningtoPromptKnowledgeTransferforOpen-WorldContinualLearning (AAAI-24) will be released in the near future.
Code & Dataset repository for the paper "Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation"
[AAAI'25] Official Code for “Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community"
An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction. Findings of ACL 2024
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
[ECCV2024 Oral] Official implementation of the paper "Relation DETR: Exploring Explicit Position Relation Prior for Object Detection"
Findings of EMNLP 2023: InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective