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 476–500 of 2042 papers

Title	Date	Tasks	Status	Score
Deep Cross Residual Learning for Multitask Visual Recognition	Apr 5, 2016	Object Recognition	CodeCode Available	5
Deep Discrete Hashing with Self-supervised Pairwise Labels	Jul 7, 2017	Deep HashingGeneral Classification	CodeCode Available	5
Deep Feature Collaboration for Challenging 3D Finger Knuckle Identification	Oct 9, 2020	Object Recognition	CodeCode Available	5
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild	May 13, 2016	Few-Shot LearningGeneralized Zero-Shot Learning	CodeCode Available	5
Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding	Aug 22, 2024	object-detectionObject Detection	CodeCode Available	5
Enhancing Pollinator Conservation towards Agriculture 4.0: Monitoring of Bees through Object Recognition	May 24, 2024	Object Recognition	CodeCode Available	5
Enabling My Robot To Play Pictionary : Recurrent Neural Networks For Sketch Recognition	Aug 11, 2016	ObjectObject Recognition	CodeCode Available	5
A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images	Aug 11, 2018	Object Recognition	CodeCode Available	5
End-to-End Learning of Representations for Asynchronous Event-Based Data	Apr 17, 2019	ClassificationObject Recognition	CodeCode Available	5
Faster gaze prediction with dense networks and Fisher pruning	Jan 17, 2018	Gaze EstimationGaze Prediction	CodeCode Available	5
Generalized Relevance Learning Grassmann Quantization	Mar 14, 2024	Activity RecognitionFace Recognition	CodeCode Available	5
Dynamic Rectification Knowledge Distillation	Jan 27, 2022	Edge-computingKnowledge Distillation	CodeCode Available	5
Do Pre-trained Vision-Language Models Encode Object States?	Sep 16, 2024	Language ModelingLanguage Modelling	CodeCode Available	5
SeqNet: Sequential Networks for One-Shot Traffic Sign Recognition With Transfer Learning	Sep 23, 2024	Image RetrievalMetric Learning	CodeCode Available	5
Seq-NMS for Video Object Detection	Feb 26, 2016	General ClassificationObject	CodeCode Available	5
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators	Aug 30, 2019	image-classificationImage Classification	CodeCode Available	5
Domain Generalization via Model-Agnostic Learning of Semantic Features	Oct 29, 2019	Domain GeneralizationGeneral Knowledge	CodeCode Available	5
Domain Generalization In Robust Invariant Representation	Apr 7, 2023	Domain GeneralizationObject Recognition	CodeCode Available	5
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition	Jun 4, 2019	3D Object RecognitionClustering	CodeCode Available	5
Domain Generalization by Solving Jigsaw Puzzles	Jun 1, 2019	Domain GeneralizationObject Recognition	CodeCode Available	5
Domain Generalization by Solving Jigsaw Puzzles	Mar 16, 2019	Domain GeneralizationImage Classification	CodeCode Available	5
Don't Judge by the Look: Towards Motion Coherent Video Representation	Mar 14, 2024	Data AugmentationObject Recognition	CodeCode Available	5
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion	Jun 28, 2024	Object RecognitionSuper-Resolution	CodeCode Available	5
Improving Out-of-Distribution Detection with Disentangled Foreground and Background Features	Mar 15, 2023	DisentanglementObject Recognition	CodeCode Available	5
Do Deep Neural Networks Suffer from Crowding?	Jun 26, 2017	Object Recognition	CodeCode Available	5

Show:10 25 50

← PrevPage 20 of 82Next →

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