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/kuanchihhuang/monodtr

공식 코드

MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer

https://github.com/kuanchihhuang/ptt

공식 코드

PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection

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

공식 코드

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

https://github.com/kuangliu/pytorch-cifar

공식 코드

Distributional Generalization: A New Kind of Generalization

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

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