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 1226–1250 of 2042 papers

Title	Date	Tasks	Status
Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets	May 3, 2019	Object Recognition	—Unverified
Clustering Images by Unmasking - A New Baseline	May 2, 2019	Authorship VerificationClustering	—Unverified
Learning what and where to attend with humans in the loop	May 1, 2019	DiagnosticImage Categorization	—Unverified
Contextual Recurrent Convolutional Model for Robust Visual Learning	May 1, 2019	Fine-Grained Image ClassificationGeneral Classification	—Unverified
Localized random projections challenge benchmarks for bio-plausible deep learning	May 1, 2019	Deep LearningGeneral Classification	—Unverified
FAST OBJECT LOCALIZATION VIA SENSITIVITY ANALYSIS	May 1, 2019	General Classificationimage-classification	—Unverified
What a difference a pixel makes: An empirical examination of features used by CNNs for categorisation	May 1, 2019	Object Recognition	—Unverified
Causal importance of orientation selectivity for generalization in image recognition	May 1, 2019	image-classificationImage Classification	CodeCode Available
Learning to Find Common Objects Across Few Image Collections	Apr 29, 2019	Few-Shot LearningObject	CodeCode Available
Pointing Novel Objects in Image Captioning	Apr 25, 2019	DecoderImage Captioning	—Unverified
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers	Apr 25, 2019	3D Object RecognitionGeneral Classification	—Unverified
Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks	Apr 25, 2019	Data AugmentationObject Recognition	—Unverified
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras	Apr 24, 2019	Dimensionality Reductionfeature selection	—Unverified
Context-Aware Zero-Shot Learning for Object Recognition	Apr 24, 2019	ObjectObject Recognition	—Unverified
Facial Expression Recognition Research Based on Deep Learning	Apr 22, 2019	Deep LearningFacial Expression Recognition	CodeCode Available
ChoiceNet: CNN learning through choice of multiple feature map representations	Apr 20, 2019	Object RecognitionSemantic Segmentation	—Unverified
Context-Aware Zero-Shot Recognition	Apr 19, 2019	Object RecognitionZero-Shot Learning	CodeCode Available
End-to-End Learning of Representations for Asynchronous Event-Based Data	Apr 17, 2019	ClassificationObject Recognition	CodeCode Available
People infer recursive visual concepts from just a few examples	Apr 17, 2019	Object Recognition	—Unverified
3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning Models	Apr 17, 2019	3D Classification3D Object Detection	CodeCode Available
Collaboration Analysis Using Deep Learning	Apr 17, 2019	AnatomyDeep Learning	—Unverified
Texture image analysis and texture classification methods - A review	Apr 13, 2019	ClassificationDefect Detection	—Unverified
Improved training of binary networks for human pose estimation and image recognition	Apr 11, 2019	BinarizationClassification with Binary Neural Network	—Unverified
On zero-shot recognition of generic objects	Apr 10, 2019	Object RecognitionZero-Shot Learning	CodeCode Available
An Application-Specific VLIW Processor with Vector Instruction Set for CNN Acceleration	Apr 10, 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