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 5576–5600 of 10420 papers

TitleStatusHype
Dual-Individual Genetic Algorithm: A Dual-Individual Approach for Efficient Training of Multi-Layer Neural Networks—0
Can a face tell us anything about an NBA prospect? -- A Deep Learning approach—0
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models—0
Dual Complementary Dynamic Convolution for Image Recognition—0
Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification—0
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification—0
Can a CNN Recognize Catalan Diet?—0
Dual-channel Prototype Network for few-shot Classification of Pathological Images—0
Dual-branch PolSAR Image Classification Based on GraphMAE and Local Feature Extraction—0
Camera Bias in a Fine Grained Classification Task—0
Dual adaptive training of photonic neural networks—0
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition—0
An Improved CNN-based Neural Network Model for Fruit Sugar Level Detection—0
DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking—0
DSM Refinement with Deep Encoder-Decoder Networks—0
An image segmentation algorithm for measurement of flotation froth bubble size distributions—0
A Dot Product Attention Free Transformer—0
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer—0
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification—0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning—0
DSAGL: Dual-Stream Attention-Guided Learning for Weakly Supervised Whole Slide Image Classification—0
Boldness-Recalibration for Binary Event Predictions—0
Dropout with Expectation-linear Regularization—0
Dropout Sampling for Robust Object Detection in Open-Set Conditions—0
Dropout Distillation for Efficiently Estimating Model Confidence—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified