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 851–875 of 2042 papers

Title	Date	Tasks	Status	Hype
Classifying Malware Images with Convolutional Neural Network Models	Oct 30, 2020	ClassificationGeneral Classification	—Unverified	0
All-Weather Object Recognition Using Radar and Infrared Sensing	Oct 30, 2020	AllData Augmentation	—Unverified	0
3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations	Oct 30, 2020	3D Object RecognitionObject	—Unverified	0
WaveTransform: Crafting Adversarial Examples via Input Decomposition	Oct 29, 2020	Adversarial DefenseObject Recognition	—Unverified	0
An Overview Of 3D Object Detection	Oct 29, 2020	3D Object DetectionObject	—Unverified	0
Medical Deep Learning -- A systematic Meta-Review	Oct 28, 2020	ArticlesAutonomous Driving	—Unverified	0
Fit to Measure: Reasoning about Sizes for Robust Object Recognition	Oct 27, 2020	BIG-bench Machine LearningObject	CodeCode Available	0
Empowering Knowledge Distillation via Open Set Recognition for Robust 3D Point Cloud Classification	Oct 25, 2020	3D Point Cloud ClassificationGeneral Classification	—Unverified	0
Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions	Oct 24, 2020	Machine TranslationObject Recognition	CodeCode Available	1
Object-aware Feature Aggregation for Video Object Detection	Oct 23, 2020	Objectobject-detection	—Unverified	0
LCD -- Line Clustering and Description for Place Recognition	Oct 21, 2020	ClusteringImage Retrieval	CodeCode Available	1
Boosting Gradient for White-Box Adversarial Attacks	Oct 21, 2020	Blockingimage-classification	—Unverified	0
Teacher-Student Consistency For Multi-Source Domain Adaptation	Oct 20, 2020	Domain AdaptationObject Recognition	CodeCode Available	0
Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks	Oct 18, 2020	Document Layout Analysisobject-detection	—Unverified	0
Unsupervised Foveal Vision Neural Networks with Top-Down Attention	Oct 18, 2020	ObjectObject Recognition	—Unverified	0
Dreaming with ARC	Oct 17, 2020	ARCObject Recognition	—Unverified	0
On the surprising similarities between supervised and self-supervised models	Oct 16, 2020	ObjectObject Recognition	—Unverified	0
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs	Oct 15, 2020	Language ModelingLanguage Modelling	CodeCode Available	1
Exact neural mass model for synaptic-based working memory	Oct 14, 2020	Object Recognition	—Unverified	0
Development of Open Informal Dataset Affecting Autonomous Driving	Oct 14, 2020	Autonomous DrivingObject	—Unverified	0
Text-Embedded Bilinear Model for Fine-Grained Visual Recognition	Oct 12, 2020	Fine-Grained Image RecognitionFine-Grained Visual Recognition	—Unverified	0
Spherical Convolutional Neural Networks: Stability to Perturbations in SO(3)	Oct 12, 2020	Object Recognition	—Unverified	0
The MECCANO Dataset: Understanding Human-Object Interactions from Egocentric Videos in an Industrial-like Domain	Oct 12, 2020	Action RecognitionActive Object Detection	CodeCode Available	1
How does task structure shape representations in deep neural networks?	Oct 9, 2020	DecoderObject Recognition	—Unverified	0
Quantifying Adversarial Sensitivity of a Model as a Function of the Image Distribution	Oct 9, 2020	Adversarial RobustnessObject Recognition	—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