Papers with Code 아카이브

2D Object Detection

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전체 기법전체 데이터셋

하위 태스크

15

평가표

20

보존된 평가 기록

57

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/yangtiming/imov3d

공식 코드

ImOV3D: Learning Open-Vocabulary Point Clouds 3D Object Detection from Only 2D Images

https://github.com/yangxu351/synthetic_xview_airplanes

공식 코드

SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems

https://github.com/yangxue0827/RotationDetection

공식 코드

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

https://github.com/yangxue0827/STAR-MMRotate

공식 코드

STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery

https://github.com/yangxue0827/h2rbox-jittor

공식 코드

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection

https://github.com/yangxue0827/h2rbox-mmrotate

공식 코드

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection

https://github.com/yangxue0827/rsg-mmrotate

공식 코드

STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery

https://github.com/yangyang-69/Prompt_sam_cryoPPP

공식 코드

Adapting Segment Anything Model (SAM) through Prompt-based Learning for Enhanced Protein Identification in Cryo-EM Micrographs

https://github.com/yangyanggirl/bos

공식 코드

Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments

https://github.com/yangyangyang127/pointclip_v2

공식 코드

PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

https://github.com/yangzhaojason/DualDiff

공식 코드

DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward Guidance

https://github.com/yaohungt/Demystifying_Self_Supervised_Learning

공식 코드

Self-supervised Learning from a Multi-view Perspective

https://github.com/yaorong0921/driver-gaze-yolov5

공식 코드

Where and What: Driver Attention-based Object Detection

https://github.com/yaoxu008/QXS-SAROPT

공식 코드

The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

https://github.com/ybkscht/EfficientPose

공식 코드

EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach

https://github.com/ybzh/point-dae

공식 코드

Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning

https://github.com/yc-zh/wsvm

공식 코드

Weakly Supervised Object Detection for Automatic Tooth-marked Tongue Recognition

https://github.com/ycyinchao/rdvp-msd

공식 코드

Stepwise Decomposition and Dual-stream Focus: A Novel Approach for Training-free Camouflaged Object Segmentation

https://github.com/ydhcg-bobo/stcmot

공식 코드

STCMOT: Spatio-Temporal Cohesion Learning for UAV-Based Multiple Object Tracking

https://github.com/yehli/imagenetmodel

공식 코드

Contextual Transformer Networks for Visual Recognition

https://github.com/yekeren/Cap2Det

공식 코드

Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection

https://github.com/yeliudev/catnet

공식 코드

Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images

https://github.com/yellowshippo/isogcn-iclr2021

공식 코드

Isometric Transformation Invariant and Equivariant Graph Convolutional Networks

https://github.com/yformer/EfficientSAM

공식 코드

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

https://github.com/ygjwd12345/UCD

공식 코드

Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation

https://github.com/yh-pengtu/FemtoDet

공식 코드

FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs

https://github.com/yhbcode000/Eloss-Interpretability

공식 코드

Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent Driving

https://github.com/yhbcode000/MMDetection3D-Eloss

공식 코드

Eloss in the way: A Sensitive Input Quality Metrics for Intelligent Driving

https://github.com/yhc2021/avs-net

공식 코드

AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding

https://github.com/yhcao6/fadi

공식 코드

Few-Shot Object Detection via Association and DIscrimination

https://github.com/yhhhli/BRECQ

공식 코드

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

https://github.com/yi94code/HRSOD

공식 코드

Towards High-Resolution Salient Object Detection

https://github.com/yichaoshen-ms/v-detr

공식 코드

V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection

https://github.com/yichen928/STRL

공식 코드

Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds

https://github.com/yichen928/geal_active_learning

공식 코드

Towards General and Efficient Active Learning

https://github.com/yichen928/sparsefusion

공식 코드

SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.