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평가표

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보존된 평가 기록

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코드

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

https://github.com/heitorrapela/HalluciDet

공식 코드

HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information

https://github.com/heitorrapela/mipa

공식 코드

MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection

https://github.com/heitorrapela/modtr

공식 코드

Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge

https://github.com/hejh8/cyclerdm

공식 코드

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model

https://github.com/helhafyani/multimodal_fusion

공식 코드

Multimodal Object Detection via Probabilistic a priori Information Integration

https://github.com/helioszhao/shade

공식 코드

Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation

https://github.com/helioszhao/shade-visualdg

공식 코드

Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization

https://github.com/hellloxiaotian/ACNet

공식 코드

Asymmetric CNN for image super-resolution

https://github.com/hellloxiaotian/LESRCNN

공식 코드

Lightweight image super-resolution with enhanced CNN

https://github.com/hellloxiaotian/adsrnet

공식 코드

Adaptive Convolutional Neural Network for Image Super-resolution

https://github.com/hellloxiaotian/dsrnet

공식 코드

Image super-resolution via dynamic network

https://github.com/hellloxiaotian/esrgcnn

공식 코드

Image Super-resolution with An Enhanced Group Convolutional Neural Network

https://github.com/hellloxiaotian/hdsrnet

공식 코드

Adaptive Convolutional Neural Network for Image Super-resolution

https://github.com/hellloxiaotian/hgsrcnn

공식 코드

A heterogeneous group CNN for image super-resolution

https://github.com/hellloxiaotian/tsrnet

공식 코드

A Tree-guided CNN for image super-resolution

https://github.com/hellozhuo/msgc

공식 코드

Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution

https://github.com/hendryx-scale/mhal-detect

공식 코드

Detecting and Preventing Hallucinations in Large Vision Language Models

https://github.com/heng-hw/spacap3d

공식 코드

Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds

https://github.com/hengliusky/UltraSound_SSSR

공식 코드

Perception Consistency Ultrasound Image Super-resolution via Self-supervised CycleGAN

https://github.com/henrylee2570/NoisyAnchor

공식 코드

Learning from Noisy Anchors for One-stage Object Detection

https://github.com/henrytsui000/YOLO

공식 코드

YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary

https://github.com/henryyu23/das

공식 코드

Towards Unsupervised Model Selection for Domain Adaptive Object Detection

https://github.com/herrinj/LAP

공식 코드

LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables

https://github.com/hertasecurity/gpu-nms

공식 코드

Work-Efficient Parallel Non-Maximum Suppression Kernels

https://github.com/heshitian/plug

공식 코드

Learning Remote Sensing Object Detection with Single Point Supervision

https://github.com/hexiao-cs/s2adet

공식 코드

Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation

https://github.com/hey-it-s-me/corple

공식 코드

Contourlet Refinement Gate Framework for Thermal Spectrum Distribution Regularized Infrared Image Super-Resolution

https://github.com/hfates/ikr-net

공식 코드

Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation

https://github.com/hhqweasd/G2R-ShadowNet

공식 코드

From Shadow Generation to Shadow Removal

https://github.com/hhqweasd/LG-ShadowNet

공식 코드

Shadow Removal by a Lightness-Guided Network with Training on Unpaired Data

https://github.com/hht1996ok/ea-bev

공식 코드

EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection

https://github.com/hhx0320/asnn

공식 코드

Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding

https://github.com/hi-ft/erd

공식 코드

Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation

https://github.com/hieutrong512/Yoloz

공식 코드

YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles

https://github.com/hik-lab/ssod

공식 코드

Label Matching Semi-Supervised Object Detection

https://github.com/hikvision-research/SSOD

공식 코드

Label Matching Semi-Supervised Object Detection

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