Papers with Code 아카이브

2D Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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/thuan-researcher/intruder-thermal-dataset

공식 코드

PDIWS: Thermal Imaging Dataset for Person Detection in Intrusion Warning Systems

https://github.com/thuml/Decoupled-Adaptation-for-Cross-Domain-Object-Detection

공식 코드

Decoupled Adaptation for Cross-Domain Object Detection

https://github.com/thusiyuan/cooperative_scene_parsing

공식 코드

Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation

https://github.com/tianfang-zhang/cas-vit

공식 코드

CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applications

https://github.com/tianhao-qi/bacl

공식 코드

Balanced Classification: A Unified Framework for Long-Tailed Object Detection

https://github.com/tianhuilab/falcon

공식 코드

Falcon: A Remote Sensing Vision-Language Foundation Model

https://github.com/tiankongzhang/mga

공식 코드

Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment

https://github.com/tiankongzhang/mgada

공식 코드

Multi-Granularity Alignment Domain Adaptation for Object Detection

https://github.com/tianweiy/CenterPoint

공식 코드

Center-based 3D Object Detection and Tracking

https://github.com/tianweiy/MVP

공식 코드

Multimodal Virtual Point 3D Detection

https://github.com/tianzhi0549/FCOS

공식 코드

FCOS: Fully Convolutional One-Stage Object Detection

https://github.com/tiffamy/3dod-lsf

공식 코드

Improving Generalization Ability for 3D Object Detection by Learning Sparsity-invariant Features

https://github.com/timbervision/timbervision

공식 코드

TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations

https://github.com/timbroed/MUSES

공식 코드

MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty

https://github.com/timbroed/hrfuser

공식 코드

HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection

https://github.com/timschoonbeek/industreal

공식 코드

IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting

https://github.com/timy90022/DropLoss

공식 코드

DropLoss for Long-Tail Instance Segmentation

https://github.com/timy90022/One-Shot-Object-Detection

공식 코드

One-Shot Object Detection with Co-Attention and Co-Excitation

https://github.com/tingxueronghua/dpke

공식 코드

Dual-Perspective Knowledge Enrichment for Semi-Supervised 3D Object Detection

https://github.com/tingz123/fha-kitchens

공식 코드

Multi-Granularity Hand Action Detection

https://github.com/tinh2044/YOLO12-UnderWater

공식 코드

Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation

https://github.com/tiny-smart/dysample

공식 코드

Learning to Upsample by Learning to Sample

https://github.com/tiny-smart/sapa

공식 코드

On Point Affiliation in Feature Upsampling

https://github.com/tinytigerpan/bckd

공식 코드

Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection

https://github.com/tinyvision/damo-yolo

공식 코드

DAMO-YOLO : A Report on Real-Time Object Detection Design

https://github.com/tjiagom/stochastic-yolo

공식 코드

Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts

https://github.com/tjiiv-cprg/MonoRUn

공식 코드

MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation

https://github.com/tjiiv-cprg/epro-pnp

공식 코드

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

https://github.com/tjiiv-cprg/epro-pnp-v2

공식 코드

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

https://github.com/tjradarlab/tj4dradset

공식 코드

TJ4DRadSet: A 4D Radar Dataset for Autonomous Driving

https://github.com/tjubiit/TJU-DHD

공식 코드

TJU-DHD: A Diverse High-Resolution Dataset for Object Detection

https://github.com/tkyen1110/tednet

공식 코드

Tracking-Assisted Object Detection with Event Cameras

https://github.com/tldoan/-hyp-ow-aaai-2024-

공식 코드

Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection

https://github.com/tmiu/itfa

공식 코드

Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach

https://github.com/tmlabonte/weakly-supervised-DETR

공식 코드

Scaling Novel Object Detection with Weakly Supervised Detection Transformers

https://github.com/tobiasriedlinger/cmppp-object-detection

공식 코드

Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection

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