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/yn-yang/sfnet

공식 코드

Enhancing Traffic Object Detection in Variable Illumination with RGB-Event Fusion

https://github.com/yoavarad/mfad

공식 코드

Beyond the Benchmark: Detecting Diverse Anomalies in Videos

https://github.com/yoctta/xpaste

공식 코드

X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion

https://github.com/yoloonme/ema-attention-module

공식 코드

Efficient Multi-Scale Attention Module with Cross-Spatial Learning

https://github.com/yonghaohe/dsla

공식 코드

DSLA: Dynamic smooth label assignment for efficient anchor-free object detection

https://github.com/yongxinw/GSDT

공식 코드

Joint Object Detection and Multi-Object Tracking with Graph Neural Networks

https://github.com/yoojy31/mdod

공식 코드

Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image

https://github.com/yoshitomo-matsubara/hnd-ghnd-object-detectors

공식 코드

Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks

https://github.com/yoshitomo-matsubara/ladon-multi-task-sc2

공식 코드

A Multi-task Supervised Compression Model for Split Computing

https://github.com/yoshitomo-matsubara/torchdistill

공식 코드

torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation

https://github.com/youngfly/Dynamic-Adjustment-Fusion

공식 코드

Explore the LiDAR-Camera Dynamic Adjustment Fusion for 3D Object Detection

https://github.com/youngsean/nids-net

공식 코드

Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation

https://github.com/youngskkim/CRN

공식 코드

CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception

https://github.com/youngwanLEE/CenterMask

공식 코드

CenterMask : Real-Time Anchor-Free Instance Segmentation

https://github.com/youngwanLEE/MPViT

공식 코드

MPViT: Multi-Path Vision Transformer for Dense Prediction

https://github.com/youngwanLEE/rc-mae

공식 코드

Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders

https://github.com/yoursever/fakeparaegg

공식 코드

Copy-Move Detection in Optical Microscopy: A Segmentation Network and A Dataset

https://github.com/youshaamurhij/rvcdet

공식 코드

Rethinking Voxelization and Classification for 3D Object Detection

https://github.com/youshyee/dcl-detection

공식 코드

Dynamic Curriculum Learning for Great Ape Detection in the Wild

https://github.com/yrahul3910/adaptive-lr-dnn

공식 코드

LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence

https://github.com/yrcong/RelTR

공식 코드

RelTR: Relation Transformer for Scene Graph Generation

https://github.com/ysj9909/DG-SoRA

공식 코드

SoRA: Singular Value Decomposed Low-Rank Adaptation for Domain Generalizable Representation Learning

https://github.com/ysj9909/SHViT

공식 코드

SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design

https://github.com/ysyscool/PSGLoss

공식 코드

Progressive Self-Guided Loss for Salient Object Detection

https://github.com/ytongbai/SemanticPartDetection

공식 코드

Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data

https://github.com/yuankaihuo/EasierPath

공식 코드

EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology

https://github.com/yuanmaoxun/c2former

공식 코드

$\mathbf{C}^2$Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection

https://github.com/yuanmaoxun/calibrated-and-complementary-transformer-for-rgb-infrared-object-detection

공식 코드

$\mathbf{C}^2$Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection

https://github.com/yuantn/MI-AOD

공식 코드

Multiple instance active learning for object detection

https://github.com/yuanyunshuang/cosense3d

공식 코드

CoSense3D: an Agent-based Efficient Learning Framework for Collective Perception

https://github.com/yuanyunshuang/gevbev

공식 코드

Generating Evidential BEV Maps in Continuous Driving Space

https://github.com/yuezhan721/mambasod

공식 코드

MambaSOD: Dual Mamba-Driven Cross-Modal Fusion Network for RGB-D Salient Object Detection

https://github.com/yuhangzang/cascadematch

공식 코드

Semi-Supervised and Long-Tailed Object Detection with CascadeMatch

https://github.com/yuhangzang/contextdet

공식 코드

Contextual Object Detection with Multimodal Large Language Models

https://github.com/yuhangzang/ov-detr

공식 코드

Open-Vocabulary DETR with Conditional Matching

https://github.com/yuhao318/UP-ViT

공식 코드

A Unified Pruning Framework for Vision Transformers

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