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 4101–4125 of 10420 papers

TitleStatusHype
2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks—0
Dependency Decomposition and a Reject Option for Explainable Models—0
Density estimation in representation space to predict model uncertainty—0
Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions—0
FEATHERS: Federated Architecture and Hyperparameter Search—0
HAO: Hardware-aware neural Architecture Optimization for Efficient Inference—0
A Classification Leveraged Object Detector—0
Handwritten digit and letter recognition using hybrid dwt-dct with knn and svm classifier—0
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains—0
Tag-based Semantic Features for Scene Image Classification—0
HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for Microscopy Image Classification—0
Morphological Network: How Far Can We Go with Morphological Neurons?—0
Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input—0
Half-CNN: A General Framework for Whole-Image Regression—0
Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples—0
Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs—0
Better (pseudo-)labels for semi-supervised instance segmentation—0
Dense Bag-of-Temporal-SIFT-Words for Time Series Classification—0
Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent—0
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification—0
Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning—0
Adaptive Step Sizes for Preconditioned Stochastic Gradient Descent—0
Denoised Labels for Financial Time-Series Data via Self-Supervised Learning—0
A Simple Probabilistic Method for Deep Classification under Input-Dependent Label Noise—0
GvT: A Graph-based Vision Transformer with Talking-Heads Utilizing Sparsity, Trained from Scratch on Small Datasets—0
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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