https://github.com/yurongyou/rote-da
공식 코드Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
Papers with Code 아카이브
16k
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 1
- 보존된 평가 기록
- 1
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yutongwangbit/goreloc
공식 코드GOReloc: Graph-based Object-Level Relocalization for Visual SLAM
https://github.com/yuweihao/mambaout
공식 코드https://github.com/yuyangsunshine/abr_iod
공식 코드Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection
https://github.com/yuyi1005/point2rbox-mmrotate
공식 코드https://github.com/yuyi1005/whollywood
공식 코드https://github.com/yuyi1005/whollywood-jittor
공식 코드https://github.com/yuyue2uofa/simicl
공식 코드https://github.com/ywangeq/PointSeg
공식 코드PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud
https://github.com/yws-wxs/vminet
공식 코드A Separable Self-attention Inspired by the State Space Model for Computer Vision
https://github.com/ywwynm/smr
공식 코드Perceptual Video Coding for Machines via Satisfied Machine Ratio Modeling
https://github.com/ywx-hub/ALWA
공식 코드https://github.com/ywyeli/place3d
공식 코드Is Your LiDAR Placement Optimized for 3D Scene Understanding?
https://github.com/yxb-nku/strip-r-cnn
공식 코드Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection
https://github.com/yxgong0/crpd
공식 코드Unified Chinese License Plate Detection and Recognition with High Efficiency
https://github.com/yyjmjc/loupe
공식 코드Fine-Grained Semantically Aligned Vision-Language Pre-Training
https://github.com/yz-wang/togethernet
공식 코드https://github.com/yzd-v/FGD
공식 코드https://github.com/yzd-v/MGD
공식 코드https://github.com/yzhou359/3DIndoor-SceneGraphNet
공식 코드SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation
https://github.com/yzichen/polarbevdet
공식 코드PolarBEVDet: Exploring Polar Representation for Multi-View 3D Object Detection in Bird's-Eye-View
https://github.com/z-fabian/flash-diffusion
공식 코드Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models
https://github.com/z-x-yang/GCT
공식 코드https://github.com/zaiweizhang/H3DNet
공식 코드H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
https://github.com/zakharos/DPOD
공식 코드https://github.com/zbzhzhy/PZRes-Net
공식 코드Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning
https://github.com/zc199823/bbnet--cocod
공식 코드Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmark
https://github.com/zcablii/Large-Selective-Kernel-Network
공식 코드Large Selective Kernel Network for Remote Sensing Object Detection
https://github.com/zcablii/lsknet
공식 코드LSKNet: A Foundation Lightweight Backbone for Remote Sensing
https://github.com/zcablii/sardet_100k
공식 코드SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection
https://github.com/zcablii/sm3det
공식 코드SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection
https://github.com/zchuhan/cckt-det
공식 코드Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object Detection
https://github.com/zczcwh/PoseFormer
공식 코드3D Human Pose Estimation with Spatial and Temporal Transformers
https://github.com/zdaxie/PixPro
공식 코드https://github.com/ze-yang/efficient-fsod
공식 코드Efficient Few-Shot Object Detection via Knowledge Inheritance
https://github.com/zeeshankaleem/ghostautoanchornet
공식 코드GAANet: Ghost Auto Anchor Network for Detecting Varying Size Drones in Dark
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.