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 1151–1175 of 2042 papers

Title	Date	Tasks	Status
How well do deep neural networks trained on object recognition characterize the mouse visual system?	Sep 11, 2019	Object Recognition	—Unverified
TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion	Sep 9, 2019	General ClassificationObject	—Unverified
DaTscan SPECT Image Classification for Parkinson's Disease	Sep 9, 2019	ClassificationDiagnostic	—Unverified
New Graph-based Features For Shape Recognition	Sep 8, 2019	Object Recognition	—Unverified
Exploring Temporal Differences in 3D Convolutional Neural Networks	Sep 7, 2019	image-classificationImage Classification	—Unverified
Detecting Deep Neural Network Defects with Data Flow Analysis	Sep 5, 2019	Object Recognition	—Unverified
Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence	Sep 3, 2019	3D ReconstructionClustering	—Unverified
Topologically-Guided Color Image Enhancement	Sep 3, 2019	Image EnhancementObject Recognition	—Unverified
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds	Sep 2, 2019	Image RetrievalObject Recognition	—Unverified
Story-oriented Image Selection and Placement	Sep 2, 2019	ArticlesCombinatorial Optimization	—Unverified
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators	Aug 30, 2019	image-classificationImage Classification	CodeCode Available
Multi-stage Deep Classifier Cascades for Open World Recognition	Aug 26, 2019	Object Recognition	CodeCode Available
BIM-assisted object recognition for the on-site autonomous robotic assembly of discrete structures	Aug 22, 2019	Objectobject-detection	—Unverified
Instance Scale Normalization for image understanding	Aug 20, 2019	Instance SegmentationObject	—Unverified
Demonstration of 3D ISAR Security Imaging at 24GHz with a Sparse MIMO Array	Aug 19, 2019	GPUObject Recognition	—Unverified
Detecting semantic anomalies	Aug 13, 2019	Anomaly DetectionMulti-Task Learning	CodeCode Available
Relative Afferent Pupillary Defect Screening through Transfer Learning	Aug 6, 2019	BenchmarkingObject Recognition	—Unverified
Image Captioning with Unseen Objects	Jul 31, 2019	Caption GenerationImage Captioning	—Unverified
Look Further to Recognize Better: Learning Shared Topics and Category-Specific Dictionaries for Open-Ended 3D Object Recognition	Jul 26, 2019	3D Object RecognitionObject	—Unverified
Self-supervised Domain Adaptation for Computer Vision Tasks	Jul 25, 2019	Domain AdaptationObject Recognition	CodeCode Available
Filter Bank Regularization of Convolutional Neural Networks	Jul 25, 2019	Object Recognition	—Unverified
Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?	Jul 24, 2019	DescriptiveObject Recognition	—Unverified
Real-Time Correlation Tracking via Joint Model Compression and Transfer	Jul 23, 2019	Computational EfficiencyCPU	CodeCode Available
Class-specific Anchoring Proposal for 3D Object Recognition in LIDAR and RGB Images	Jul 22, 2019	3D Object RecognitionAutonomous Driving	—Unverified
ImageNet-trained deep neural network exhibits illusion-like response to the Scintillating Grid	Jul 21, 2019	Object Recognition	—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