Papers with Code 아카이브

Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

39

평가표

124

보존된 평가 기록

977

코드

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

https://github.com/kuanchihhuang/vg-w3d

공식 코드

Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance

https://github.com/kuangzijian/Computer-Vision-and-Normalizing-Flow-Based-Defect-Detection

공식 코드

Computer Vision and Normalizing Flow-Based Defect Detection

https://github.com/kuangzijian/Improved-Actor-Relation-Graph-based-Group-Activity-Recognition

공식 코드

Improved Actor Relation Graph based Group Activity Recognition

https://github.com/kujason/avod

공식 코드

Joint 3D Proposal Generation and Object Detection from View Aggregation

https://github.com/kuku-sichuan/ComparisonDetector

공식 코드

Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario

https://github.com/kumuji/anomaly-benchmark-suite

공식 코드

OoDIS: Anomaly Instance Segmentation Benchmark

https://github.com/kumuji/ugains

공식 코드

UGainS: Uncertainty Guided Anomaly Instance Segmentation

https://github.com/kunye-shen/minet

공식 코드

MINet: Multi-scale Interactive Network for Real-time Salient Object Detection of Strip Steel Surface Defects

https://github.com/kupynorest/head_detector

공식 코드

VGGHeads: 3D Multi Head Alignment with a Large-Scale Synthetic Dataset

https://github.com/kyh433/suranet

공식 코드

SurANet: Surrounding-Aware Network for Concealed Object Detection via Highly-Efficient Interactive Contrastive Learning Strategy

https://github.com/kylevedder/SparsePointPillars

공식 코드

Sparse PointPillars: Maintaining and Exploiting Input Sparsity to Improve Runtime on Embedded Systems

https://github.com/l-kid/video-object-detection-by-location-anticipation

공식 코드

Objects do not disappear: Video object detection by single-frame object location anticipation

https://github.com/labits-stt-eesc/axle_detection

공식 코드

Truck Axle Detection with Convolutional Neural Networks

https://github.com/labsaint/spd-conv

공식 코드

No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects

https://github.com/lachlants/denet

공식 코드

DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling

https://github.com/lafite-yu/mttrans-opensource

공식 코드

MTTrans: Cross-Domain Object Detection with Mean-Teacher Transformer

https://github.com/laion-ai/scaling-laws-openclip

공식 코드

Reproducible scaling laws for contrastive language-image learning

https://github.com/lancezpf/kefs

공식 코드

Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection

https://github.com/lancezpf/seeds

공식 코드

SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection

https://github.com/lanlan96/3drm

공식 코드

3DRM:Pair-wise relation module for 3D object detection

https://github.com/lanlan96/arm3d

공식 코드

ARM3D: Attention-based relation module for indoor 3D object detection

https://github.com/laprf/hrssd

공식 코드

Hyperspectral Remote Sensing Images Salient Object Detection: The First Benchmark Dataset and Baseline

https://github.com/laprf/smn

공식 코드

Spectrum-driven Mixed-frequency Network for Hyperspectral Salient Object Detection

https://github.com/laprf/spsd

공식 코드

Spectrum-oriented Point-supervised Saliency Detector for Hyperspectral Images

https://github.com/larsOhne/pvdn

공식 코드

A Dataset for Provident Vehicle Detection at Night

https://github.com/larskreuzberg/4d-stop

공식 코드

4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation

https://github.com/lartpang/HDFNet

공식 코드

Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection

https://github.com/lartpang/MINet

공식 코드

Multi-scale Interactive Network for Salient Object Detection

https://github.com/lartpang/caver

공식 코드

CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection

https://github.com/lartpang/comptr

공식 코드

ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer

https://github.com/lartpang/ovcamo

공식 코드

Open-Vocabulary Camouflaged Object Segmentation

https://github.com/lartpang/zoomnet

공식 코드

Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection

https://github.com/lartpang/zoomnext

공식 코드

ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection

https://github.com/laughtervv/SGPN

공식 코드

SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation

https://github.com/laurimi/ddcrp-gibbs

공식 코드

Object proposal generation applying the distance dependent Chinese restaurant process

https://github.com/layneh/greenmim

공식 코드

Green Hierarchical Vision Transformer for Masked Image Modeling

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