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 151–175 of 2042 papers

Title	Date	Tasks	Status	Hype
Dynamic Few-Shot Visual Learning without Forgetting	Apr 25, 2018	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1
E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning	Nov 30, 2023	Image ReconstructionObject Recognition	CodeCode Available	1
Empirical Upper Bound, Error Diagnosis and Invariance Analysis of Modern Object Detectors	Apr 5, 2020	Objectobject-detection	CodeCode Available	1
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings	Nov 22, 2020	Bayesian InferenceObject Recognition	CodeCode Available	1
Event-based Asynchronous Sparse Convolutional Networks	Mar 20, 2020	object-detectionObject Detection	CodeCode Available	1
EventCLIP: Adapting CLIP for Event-based Object Recognition	Jun 10, 2023	Few-Shot LearningObject	CodeCode Available	1
Evolving Deep Neural Networks	Mar 1, 2017	Deep LearningImage Captioning	CodeCode Available	1
Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition	Mar 23, 2022	Event-based visionObject Recognition	CodeCode Available	1
Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image Classification	Aug 15, 2024	image-classificationImage Classification	CodeCode Available	1
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery	Mar 9, 2021	Deep LearningObject	CodeCode Available	1
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation	Aug 13, 2020	ClassificationFew-Shot Object Detection	CodeCode Available	1
From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection	Apr 26, 2023	Event-based visionobject-detection	CodeCode Available	1
Full-Glow: Fully conditional Glow for more realistic image generation	Dec 10, 2020	Image GenerationObject Recognition	CodeCode Available	1
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video	Sep 25, 2022	Long-tail Video Object SegmentationMulti-Object Tracking	CodeCode Available	1
Causal Transportability for Visual Recognition	Apr 26, 2022	image-classificationImage Classification	CodeCode Available	1
Going Deeper with Convolutions	Sep 17, 2014	General ClassificationImage Classification	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
ImageNet Large Scale Visual Recognition Challenge	Sep 1, 2014	General Classificationimage-classification	CodeCode Available	1
Implicit Feature Refinement for Instance Segmentation	Dec 9, 2021	Instance SegmentationObject Recognition	CodeCode Available	1
Comparison of semi-supervised deep learning algorithms for audio classification	Feb 16, 2021	Audio ClassificationAudio Tagging	CodeCode Available	1
Compact Generalized Non-local Network	Oct 31, 2018	Object DetectionObject Recognition	CodeCode Available	1
Bilateral Event Mining and Complementary for Event Stream Super-Resolution	May 16, 2024	Object RecognitionSuper-Resolution	CodeCode Available	1
Attribution in Scale and Space	Apr 3, 2020	AttributeObject Recognition	CodeCode Available	1
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification	Apr 9, 2022	Classificationdomain classification	CodeCode Available	1
Billion-scale semi-supervised learning for image classification	May 2, 2019	ClassificationGeneral Classification	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