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National University of Singapore
- Singapore, Singapore
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📝 CS4246 course summaries
Open-Sora: Democratizing Efficient Video Production for All
This package provides A Comprehensive Multi-Modal Anti-UAV Dataset
Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
[ICCV 2023] Official implementation of "PØDA: Prompt-driven Zero-shot Domain Adaptation"
[ICCV2023] Dataset Quantization
Implementation of popular ML algorithms from scratch
[ICCV2023 Oral] Unmasked Teacher: Towards Training-Efficient Video Foundation Models
A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
A state-of-the-art semi-supervised method for image recognition
Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687
Official repository for "Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting" [CVPR 2023]
Official PyTorch implementation of the paper "Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge Transferring"
✨✨Latest Advances on Multimodal Large Language Models
An open source implementation of CLIP.
Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"
🦜🔗 Build context-aware reasoning applications
BenchBot is a tool for seamlessly testing & evaluating semantic scene understanding tools in both realistic 3D simulation & on real robots
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.