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 676–700 of 2042 papers

Title	Date	Tasks	Status
Can domain adaptation make object recognition work for everyone?	Apr 23, 2022	Domain AdaptationObject	—Unverified
Label Efficient Regularization and Propagation for Graph Node Classification	Apr 19, 2022	AttributeBenchmarking	—Unverified
Sensitivity of sparse codes to image distortions	Apr 15, 2022	Object RecognitionSensitivity	—Unverified
Hybrid Predictive Coding: Inferring, Fast and Slow	Apr 5, 2022	Bayesian InferenceObject Recognition	—Unverified
Exploiting Temporal Relations on Radar Perception for Autonomous Driving	Apr 3, 2022	2D Object DetectionAutonomous Driving	—Unverified
Neurosymbolic hybrid approach to driver collision warning	Mar 28, 2022	Autonomous DrivingDeep Learning	—Unverified
Salt Detection Using Segmentation of Seismic Image	Mar 25, 2022	Object RecognitionSeismic Imaging	—Unverified
Visuo-Haptic Object Perception for Robots: An Overview	Mar 22, 2022	ArticlesObject	—Unverified
A Real-time Junk Food Recognition System based on Machine Learning	Mar 22, 2022	BIG-bench Machine LearningFood Recognition	—Unverified
Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward	Mar 21, 2022	image-classificationImage Classification	—Unverified
Vision Transformer with Convolutions Architecture Search	Mar 20, 2022	image-classificationImage Classification	—Unverified
Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis	Mar 18, 2022	BenchmarkingObject Recognition	CodeCode Available
Neural Part Priors: Learning to Optimize Part-Based Object Completion in RGB-D Scans	Mar 17, 2022	3D Object Recognitionglobal-optimization	—Unverified
InsCon:Instance Consistency Feature Representation via Self-Supervised Learning	Mar 15, 2022	Contrastive Learningimage-classification	—Unverified
Soft-margin classification of object manifolds	Mar 14, 2022	ClassificationObject	—Unverified
FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition	Mar 14, 2022	Object Recognition	—Unverified
Mixed Evidence for Gestalt Grouping in Deep Neural Networks	Mar 14, 2022	Object Recognition	CodeCode Available
Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition	Mar 7, 2022	Graph Neural NetworkImage Captioning	—Unverified
The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods	Mar 4, 2022	Anomaly DetectionObject	—Unverified
Hybrid Optimized Deep Convolution Neural Network based Learning Model for Object Detection	Mar 2, 2022	Content-Based Image RetrievalDeep Learning	—Unverified
TANDEM: Learning Joint Exploration and Decision Making with Tactile Sensors	Mar 1, 2022	Decision MakingEfficient Exploration	—Unverified
Building a visual semantics aware object hierarchy	Feb 26, 2022	ObjectObject Recognition	—Unverified
Universal adversarial perturbation for remote sensing images	Feb 22, 2022	ClassificationDecoder	—Unverified
Visual Ground Truth Construction as Faceted Classification	Feb 17, 2022	ClassificationObject Recognition	—Unverified
Survey on Self-supervised Representation Learning Using Image Transformations	Feb 17, 2022	Object RecognitionRepresentation Learning	—Unverified

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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