https://github.com/CAVED123/regretful-agent
The Regretful Navigation Agent for Vision-and-Language Navigation
Papers with Code 아카이브
Visual Navigation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 6
- 보존된 평가 기록
- 40
Visual Navigation is the problem of navigating an agent, e.g. a mobile robot, in an environment using camera input only. The agent is given a target image (an image it will see from the target position), and its goal is to move from its current position to the target by applying a sequence of actions, based on the camera observations only.
Source: Vision-based Navigation Using Deep Reinforcement Learning
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HomeroRR/rmm
https://github.com/KarhouTam/FL-bench
Think Locally, Act Globally: Federated Learning with Local and Global Representations
https://github.com/MagnusCaligo/EvoCNN
Evolving Deep Convolutional Neural Networks for Image Classification
https://github.com/MarSaKi/NvEM
https://github.com/PathPlanning/GAN-Path-Finder
https://github.com/PierreMarza/autonerf
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation
https://github.com/TsingZ0/GFL
Think Locally, Act Globally: Federated Learning with Local and Global Representations
https://github.com/TsingZ0/PFL-Non-IID
Think Locally, Act Globally: Federated Learning with Local and Global Representations
https://github.com/YicongHong/Entity-Graph-VLN
https://github.com/aghagol/loop-detection
On the Performance of ConvNet Features for Place Recognition
https://github.com/aibluefisher/graphoptim
A Pose-only Solution to Visual Reconstruction and Navigation
https://github.com/airi-institute/learn-to-follow
Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning
https://github.com/akanametov/PathGAN
https://github.com/aluscher/torchbeastpopart
https://github.com/arsalan-mousavian/Navigation
Visual Representations for Semantic Target Driven Navigation
https://github.com/ayusefi/Localization-Papers
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
https://github.com/barmayo/spatial_attention
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
https://github.com/batra-mlp-lab/vln-chasing-ghosts
https://github.com/batra-mlp-lab/vln-sim2real
https://github.com/cacosandon/are-you-looking
The Regretful Navigation Agent for Vision-and-Language Navigation
https://github.com/cassieqiuyd/MJOLNIR
Learning hierarchical relationships for object-goal navigation
https://github.com/cshizhe/vln-duet
Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation
https://github.com/cvankir2/nsf_auburn
Drone Path-Following in GPS-Denied Environments using Convolutional Networks
https://github.com/dongniu0927/cognitive_mapping_and_planning
https://github.com/facebookresearch/habitat-api
Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?
https://github.com/facebookresearch/habitat-challenge
Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?
https://github.com/facebookresearch/nwm
https://github.com/facebookresearch/soundspaces-challenge
https://github.com/gengzezhou/navgpt-2
NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models
https://github.com/google-research-datasets/RxR
https://github.com/hlr/vln-trans
https://github.com/iit-pavis/look_around_and_learn
Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?
https://github.com/jasonzhang929/CMP
https://github.com/joanfmendo/prop-dronet
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
https://github.com/jozhang97/side-tuning
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.