https://github.com/giddyyupp/coco-minitrain
공식 코드HoughNet: Integrating near and long-range evidence for bottom-up object detection
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HoughNet: Integrating near and long-range evidence for bottom-up object detection
WAIT: Feature Warping for Animation to Illustration video Translation using GANs
ProTeCt: Prompt Tuning for Taxonomic Open Set Classification
D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
Hyperspectral Image Dataset for Benchmarking on Salient Object Detection
Parallel Detection for Efficient Video Analytics at the Edge
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection
SFSORT: Scene Features-based Simple Online Real-Time Tracker
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing
Learning Fine-grained Fact-Article Correspondence in Legal Cases
Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs
NCT-CRC-HE: Not All Histopathological Datasets Are Equally Useful
Revisiting Language Models in Neural News Recommender Systems
An Empirical Study Of Self-supervised Learning Approaches For Object Detection With Transformers
An Empirical Study Of Self-supervised Learning Approaches For Object Detection With Transformers
Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers
Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling
SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset
SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation
TF-Blender: Temporal Feature Blender for Video Object Detection
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출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.