Object Recognition

Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.

( Image credit: Tensorflow Object Detection API )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 376–400 of 2042 papers

Title	Date	Tasks	Status	Hype
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?	May 26, 2023	ObjectObject Recognition	—Unverified	0
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions	May 22, 2023	Continual LearningObject Recognition	CodeCode Available	0
Target-Aware Generative Augmentations for Single-Shot Adaptation	May 22, 2023	AttributeObject Recognition	CodeCode Available	0
CNN-based Methods for Object Recognition with High-Resolution Tactile Sensors	May 21, 2023	Object RecognitionTransfer Learning	CodeCode Available	0
Paxion: Patching Action Knowledge in Video-Language Foundation Models	May 18, 2023	Action UnderstandingDiagnostic	CodeCode Available	1
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses	May 18, 2023	Face RecognitionMalware Detection	—Unverified	0
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery	May 10, 2023	Contrastive Learningimage-classification	CodeCode Available	1
Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model	May 9, 2023	Autonomous VehiclesObject	—Unverified	0
Egocentric Hierarchical Visual Semantics	May 9, 2023	ObjectObject Recognition	—Unverified	0
Persistent Homology Meets Object Unity: Object Recognition in Clutter	May 5, 2023	ObjectObject Recognition	CodeCode Available	0
GAANet: Ghost Auto Anchor Network for Detecting Varying Size Drones in Dark	May 5, 2023	Objectobject-detection	CodeCode Available	0
HeteroEdge: Addressing Asymmetry in Heterogeneous Collaborative Autonomous Systems	May 5, 2023	CPUGPU	—Unverified	0
A Systematic Study on Object Recognition Using Millimeter-wave Radar	May 3, 2023	ObjectObject Localization	—Unverified	0
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN	May 3, 2023	Instance SegmentationObject Recognition	—Unverified	0
Neurosymbolic AI - Why, What, and How	May 1, 2023	Autonomous DrivingDecision Making	—Unverified	0
Discover and Cure: Concept-aware Mitigation of Spurious Correlation	May 1, 2023	Lesion ClassificationObject Recognition	CodeCode Available	1
Deep Graph Reprogramming	Apr 28, 2023	3D Object RecognitionAction Recognition	—Unverified	0
From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection	Apr 26, 2023	Event-based visionobject-detection	CodeCode Available	1
Investigating the Nature of 3D Generalization in Deep Neural Networks	Apr 19, 2023	Object Recognition	CodeCode Available	0
Optimizing Multi-Domain Performance with Active Learning-based Improvement Strategies	Apr 13, 2023	Active Learningimage-classification	—Unverified	0
Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies	Apr 11, 2023	Object Recognition	CodeCode Available	0
A priori compression of convolutional neural networks for wave simulators	Apr 11, 2023	image-classificationImage Classification	—Unverified	0
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations	Apr 11, 2023	Image CaptioningObject Recognition	—Unverified	0
Domain Generalization In Robust Invariant Representation	Apr 7, 2023	Domain GeneralizationObject Recognition	CodeCode Available	0
What's in a Name? Beyond Class Indices for Image Recognition	Apr 5, 2023	ClusteringLanguage Modelling	—Unverified	0

Show:10 25 50

← PrevPage 16 of 82Next →

All datasets shape bias CIFAR10-DVS N-Caltech 101 ObjectNet (All classes)ObjectNet (ImageNet classes)ObjectNet (ImageNet classes, trained on ImageNet)DVS128 Gesture MECCANO N-CARS

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Imagen	shape bias	98.7	—	Unverified
2	Stable Diffusion	shape bias	92.7	—	Unverified
3	Parti	shape bias	91.7	—	Unverified
4	ViT-22B-384	shape bias	86.4	—	Unverified
5	ViT-22B-560	shape bias	83.8	—	Unverified
6	CLIP (ViT-B)	shape bias	79.9	—	Unverified
7	ViT-22B-224	shape bias	78	—	Unverified
8	ResNet-50 (L2 eps 5.0 adv trained)	shape bias	69.5	—	Unverified
9	ResNet-50 (with strong augmentations)	shape bias	62.2	—	Unverified
10	SWSL (ResNeXt-101)	shape bias	49.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.55	—	Unverified
2	SSNN	Accuracy (% )	78.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.62	—	Unverified
2	SSNN	Accuracy (% )	79.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	18.75	—	Unverified
2	yun	Top 5 Accuracy	14.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	DY	Top 5 Accuracy	0.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	AJ2021	Top 5 Accuracy	27.68	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SSNN	Accuracy (% )	94.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Faster-RCNN	mAP	30.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	96	—	Unverified