SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5801–5825 of 10420 papers

TitleStatusHype
Weakly Supervised Patch Label Inference Networks for Efficient Pavement Distress Detection and Recognition in the WildCode0
Efficient Maximal Coding Rate Reduction by Variational Forms—0
Self-distillation Augmented Masked Autoencoders for Histopathological Image Classification—0
Conditional Autoregressors are Interpretable Classifiers—0
SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network—0
AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain ShiftCode0
Classification of NEQR Processed Classical Images using Quantum Neural Networks (QNN)—0
4Weed Dataset: Annotated Imagery Weeds Dataset—0
Edge Detection and Deep Learning Based SETI Signal Classification Method—0
Treatment Learning Causal Transformer for Noisy Image Classification—0
A Fast and Efficient Conditional Learning for Tunable Trade-Off between Accuracy and Robustness—0
Neurosymbolic hybrid approach to driver collision warning—0
WSEBP: A Novel Width-depth Synchronous Extension-based Basis Pursuit Algorithm for Multi-Layer Convolutional Sparse CodingCode0
On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks—0
Image quality assessment for machine learning tasks using meta-reinforcement learning—0
On the Viability of Monocular Depth Pre-training for Semantic SegmentationCode0
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness—0
Transformers Meet Visual Learning Understanding: A Comprehensive Review—0
A DNN Optimizer that Improves over AdaBelief by Suppression of the Adaptive Stepsize RangeCode0
A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study—0
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks—0
The Fixed Sub-Center: A Better Way to Capture Data Complexity—0
Locally Asynchronous Stochastic Gradient Descent for Decentralised Deep Learning—0
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture SearchCode0
Multidimensional Belief Quantification for Label-Efficient Meta-LearningCode0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified