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Object Classification

139 directly classified papers

Papers per year

Papers

Zero-Shot Object Counting CVPR 2023
TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition CVPR 2023
Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification AAAI 2023
Are These the Same Apple? Comparing Images Based on Object Intrinsics NIPS 2023
LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition NIPS 2023
Contrastive Attention Networks for Attribution of Early Modern Print AAAI 2023
Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph CVPR 2023
Robust Feature Rectification of Pretrained Vision Models for Object Recognition AAAI 2023
Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses AAAI 2023
Enhancing the Self-Universality for Transferable Targeted Attacks CVPR 2023
XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract) AAAI 2022
DeformRS: Certifying Input Deformations with Randomized Smoothing AAAI 2022
PMAL: Open Set Recognition via Robust Prototype Mining AAAI 2022
LUNA: Localizing Unfamiliarity Near Acquaintance for Open-Set Long-Tailed Recognition AAAI 2022
Blackbox Attacks via Surrogate Ensemble Search NIPS 2022
Mixed Differential Privacy in Computer Vision CVPR 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks NIPS 2022
Robust Graph Structure Learning via Multiple Statistical Tests NIPS 2022
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization NIPS 2022
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis NIPS 2022
Dynamic Position-aware Network for Fine-grained Image Recognition AAAI 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? ICML 2021
Structure-Aware Face Clustering on a Large-Scale Graph With 107 Nodes CVPR 2021
Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection CVPR 2021
Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias CVPR 2021