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 426–450 of 2042 papers

Title	Date	Tasks	Status	Hype
Visual Story Generation Based on Emotion and Keywords	Jan 7, 2023	Image GenerationObject Recognition	CodeCode Available	0
TempSAL -- Uncovering Temporal Information for Deep Saliency Prediction	Jan 5, 2023	ObjectObject Recognition	CodeCode Available	1
GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition	Jan 5, 2023	ObjectObject Recognition	—Unverified	0
Deep Learning from Parametrically Generated Virtual Buildings for Real-World Object Recognition	Jan 3, 2023	3D ReconstructionObject Recognition	—Unverified	0
Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition	Jan 1, 2023	Object Recognition	—Unverified	0
Autonomous Manipulation Learning for Similar Deformable Objects via Only One Demonstration	Jan 1, 2023	Deformable Object ManipulationObject	—Unverified	0
MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence	Jan 1, 2023	ObjectObject Recognition	CodeCode Available	0
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction	Jan 1, 2023	ObjectObject Recognition	CodeCode Available	1
Parsing Objects at a Finer Granularity: A Survey	Dec 28, 2022	Fine-Grained Visual RecognitionHuman Part Segmentation	—Unverified	0
Part-guided Relational Transformers for Fine-grained Visual Recognition	Dec 28, 2022	Fine-Grained Image ClassificationFine-Grained Visual Recognition	CodeCode Available	1
Brain Cancer Segmentation Using YOLOv5 Deep Neural Network	Dec 27, 2022	GPUInstance Segmentation	—Unverified	0
Decision-making and control with diffractive optical networks	Dec 21, 2022	Autonomous DrivingCar Racing	CodeCode Available	0
Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning	Dec 19, 2022	image-classificationImage Classification	CodeCode Available	0
ColorSense: A Study on Color Vision in Machine Visual Recognition	Dec 16, 2022	Data AugmentationObject Recognition	—Unverified	0
RTMDet: An Empirical Study of Designing Real-Time Object Detectors	Dec 14, 2022	GPUInstance Segmentation	CodeCode Available	4
OAMixer: Object-aware Mixing Layer for Vision Transformers	Dec 13, 2022	Inductive BiasObject	CodeCode Available	0
Doubly Right Object Recognition: A Why Prompt for Visual Rationales	Dec 12, 2022	Object Recognition	CodeCode Available	1
A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations	Dec 12, 2022	ObjectObject Recognition	—Unverified	0
Teaching What You Should Teach: A Data-Based Distillation Method	Dec 11, 2022	Data AugmentationKnowledge Distillation	—Unverified	0
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions	Dec 10, 2022	MemorizationObject Recognition	—Unverified	0
Beyond Object Recognition: A New Benchmark towards Object Concept Learning	Dec 6, 2022	AttributeObject	—Unverified	0
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks	Dec 4, 2022	Adversarial RobustnessInductive Bias	CodeCode Available	0
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization	Dec 2, 2022	Domain Generalizationobject-detection	CodeCode Available	1
Extreme Image Transformations Affect Humans and Machines Differently	Nov 30, 2022	Object Recognition	—Unverified	0
Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition	Nov 30, 2022	AllObject	—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