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 101–125 of 2042 papers

Title	Date	Tasks	Status	Hype
AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs	Oct 12, 2022	Object Recognition	CodeCode Available	1
CSIM: A Copula-based similarity index sensitive to local changes for Image quality assessment	Oct 2, 2024	AstronomyImage Quality Assessment	CodeCode Available	1
Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency	Apr 24, 2025	BenchmarkingMath	CodeCode Available	1
CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics	Dec 17, 2024	Objectobject-detection	CodeCode Available	1
Decoding Natural Images from EEG for Object Recognition	Aug 25, 2023	Contrastive LearningEEG	CodeCode Available	1
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning	Oct 25, 2021	Arithmetic ReasoningMathematical Question Answering	CodeCode Available	1
Contributions of Shape, Texture, and Color in Visual Recognition	Jul 19, 2022	AttributeGeneral Classification	CodeCode Available	1
Implicit Feature Refinement for Instance Segmentation	Dec 9, 2021	Instance SegmentationObject Recognition	CodeCode Available	1
Contemplating real-world object classification	Mar 8, 2021	ClassificationData Augmentation	CodeCode Available	1
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022	Oct 1, 2022	Few-Shot Image ClassificationObject Recognition	CodeCode Available	1
Convolutional Neural Networks with Gated Recurrent Connections	Jun 5, 2021	object-detectionObject Detection	CodeCode Available	1
Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events	Aug 18, 2023	Image ReconstructionObject	CodeCode Available	1
Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN	Sep 4, 2023	object-detectionObject Detection	CodeCode Available	1
LCD -- Line Clustering and Description for Place Recognition	Oct 21, 2020	ClusteringImage Retrieval	CodeCode Available	1
Computing the Testing Error without a Testing Set	May 1, 2020	Object RecognitionSemantic Segmentation	CodeCode Available	1
Learning Iterative Reasoning through Energy Minimization	Jun 30, 2022	image-classificationImage Classification	CodeCode Available	1
Comprehensive Multi-Modal Prototypes are Simple and Effective Classifiers for Vast-Vocabulary Object Detection	Dec 23, 2024	object-detectionObject Detection	CodeCode Available	1
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning	Nov 18, 2024	AttributeCompositional Zero-Shot Learning	CodeCode Available	1
Computing the Testing Error Without a Testing Set	Jun 1, 2020	Object RecognitionSemantic Segmentation	CodeCode Available	1
LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition	Sep 22, 2023	ObjectObject Recognition	CodeCode Available	1
Adaptive Subspaces for Few-Shot Learning	Jun 1, 2020	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1
Look-into-Object: Self-supervised Structure Modeling for Object Recognition	Mar 31, 2020	Fine-Grained Image ClassificationImage Recognition	CodeCode Available	1
COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction	Dec 4, 2023	3D geometryAutonomous Driving	CodeCode Available	1
Matching the Neuronal Representations of V1 is Necessary to Improve Robustness in CNNs with V1-like Front-ends	Oct 16, 2023	Object Recognition	CodeCode Available	1
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet	Nov 4, 2014	Object RecognitionPoint Processes	CodeCode Available	1

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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