xiongfy

xiongfy's Stars

• eric-hang/CGF

  Implementation of Counterfactual Generation Framework

  Language:Python4

• iamwangyabin/S-Prompts

  Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“

  Language:Python8010

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook24.7k3.2k

• KHU-AGI/PriViLege

  [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners

  Language:Python273

• google-research/l2p

  Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

  Language:Python39940

• wangkiw/TEEN

  The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch

  Language:Python343

• zhoudw-zdw/CVPR22-Fact

  Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)

  Language:Python11223

• zysong0113/SAVC

  [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning

  Language:Python638

• muzairkhattak/PromptSRC

  [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without Forgetting".

  Language:Python2198

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.7k562

• rokmr/Continual-Learning

  Language:Python3

• NTU-LANTERN/CFST

  Compositional Few-Shot Testing with CGQA and COBJ

  Language:Python3

• IMNearth/Curriculum-Learning-For-VLN

  Code for NeurIPS 2021 paper "Curriculum Learning for Vision-and-Language Navigation"

  Language:Python151

• CrystalSixone/DSRG

  Code for A Dual Semantic-Aware Recurrent Global-Adaptive Network For Vision-and-Language Navigation

  Language:Python15

• cshizhe/VLN-HAMT

  Official implementation of History Aware Multimodal Transformer for Vision-and-Language Navigation (NeurIPS'21).

  Language:Python9712

• GengzeZhou/NavGPT

  [AAAI 2024] Official implementation of NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models

  Language:Python13411

• YanyuanQiao/MiC

  Code of the ICCV 2023 paper "March in Chat: Interactive Prompting for Remote Embodied Referring Expression"

  Language:Python221

• UMass-Foundation-Model/3D-LLM

  Code for 3D-LLM: Injecting the 3D World into Large Language Models

  Language:Python90155

• chenjinyubuaa/SEvol

  Language:Python12

• weituo12321/PREVALENT

  large scale pretrain for navigation task

  Language:Jupyter Notebook8513

• google-research/pathdreamer

  Language:Jupyter Notebook14018

• ericsujw/Matterport3DLayoutAnnotation

  Layout annotation on a subset of Matterport3D dataset

  619

• HanqingWangAI/Dreamwalker

  Implementation of our ICCV 2023 paper DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation

  18

• facebookresearch/habitat-lab

  A modular high-level library to train embodied AI agents across a variety of tasks and environments.

  Language:Python1.9k478

• niessner/Matterport

  Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)

  Language:C++933153

• MrZihan/GridMM

  Official implementation of GridMM: Grid Memory Map for Vision-and-Language Navigation (ICCV'23).

  Language:Python591

• ronghanghu/speaker_follower

  Code release for Fried et al., Speaker-Follower Models for Vision-and-Language Navigation. in NeurIPS, 2018.

  Language:C++12731

• zehao-wang/LAD

  Official implementation of Layout-aware Dreamer for Embodied Referring Expression Grounding (AAAI'23).

  Language:Python16

• cshizhe/VLN-DUET

  Official implementation of Think Global, Act Local: Dual-scale GraphTransformer for Vision-and-Language Navigation (CVPR'22 Oral).

  Language:Python1069

• MarSaKi/VLN-BEVBert

  [ICCV 2023} Official repo of "BEVBert: Multimodal Map Pre-training for Language-guided Navigation"

  Language:Python1814