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 951–975 of 2042 papers

Title	Date	Tasks	Status	Hype
Noise or Signal: The Role of Image Backgrounds in Object Recognition	Jun 17, 2020	BIG-bench Machine LearningObject Recognition	CodeCode Available	1
Interpretable multimodal fusion networks reveal mechanisms of brain cognition	Jun 16, 2020	Object Recognition	—Unverified	0
Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition	Jun 16, 2020	Generalized Zero-Shot LearningObject	—Unverified	0
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data	Jun 15, 2020	Adversarial RobustnessData Augmentation	—Unverified	0
Salienteye: Maximizing Engagement While Maintaining Artistic Style on Instagram Using Deep Neural Networks	Jun 13, 2020	Object RecognitionTransfer Learning	—Unverified	0
Exploiting the ConvLSTM: Human Action Recognition using Raw Depth Video-Based Recurrent Neural Networks	Jun 13, 2020	Action RecognitionObject Recognition	—Unverified	0
v2e: From Video Frames to Realistic DVS Events	Jun 13, 2020	Object Recognition	CodeCode Available	1
Image Enhancement and Object Recognition for Night Vision Surveillance	Jun 10, 2020	ClassificationGeneral Classification	—Unverified	0
What takes the brain so long: Object recognition at the level of minimal images develops for up to seconds of presentation time	Jun 9, 2020	Decision MakingObject Recognition	—Unverified	0
An Efficient Accelerator Design Methodology for Deformable Convolutional Networks	Jun 9, 2020	Object Recognition	—Unverified	0
Training Deep Spiking Neural Networks	Jun 8, 2020	Object Recognition	—Unverified	0
Information Mandala: Statistical Distance Matrix with Clustering	Jun 7, 2020	ClusteringObject Recognition	—Unverified	0
Anomaly Detection with Domain Adaptation	Jun 5, 2020	Anomaly DetectionDomain Adaptation	—Unverified	0
2D Image Features Detector And Descriptor Selection Expert System	Jun 4, 2020	ClassificationGeneral Classification	—Unverified	0
Adaptive Subspaces for Few-Shot Learning	Jun 1, 2020	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1
Computing the Testing Error Without a Testing Set	Jun 1, 2020	Object RecognitionSemantic Segmentation	CodeCode Available	1
Recognizing Objects From Any View With Object and Viewer-Centered Representations	Jun 1, 2020	ObjectObject Recognition	—Unverified	0
Traditional Method Inspired Deep Neural Network for Edge Detection	May 28, 2020	Edge DetectionImage Segmentation	CodeCode Available	1
Adversarial Attacks and Defense on Texts: A Survey	May 28, 2020	Face RecognitionObject Recognition	—Unverified	0
Object-QA: Towards High Reliable Object Quality Assessment	May 27, 2020	ObjectObject Recognition	—Unverified	0
End-to-End Auditory Object Recognition via Inception Nucleus	May 25, 2020	ClassificationGeneral Classification	—Unverified	0
Misalignment Resilient Diffractive Optical Networks	May 23, 2020	Object Recognition	—Unverified	0
Human-like general language processing	May 19, 2020	Object RecognitionSentence	—Unverified	0
Visual Relationship Detection using Scene Graphs: A Survey	May 16, 2020	Graph GenerationImage Generation	—Unverified	0
Ventral-Dorsal Neural Networks: Object Detection via Selective Attention	May 15, 2020	image-classificationImage Classification	—Unverified	0

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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