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 9551–9575 of 10420 papers

TitleStatusHype
Grouping-By-ID: Guarding Against Adversarial Domain Shifts—0
Fixing Weight Decay Regularization in Adam—0
Image Augmentation for Object Image Classification Based On Combination of PreTrained CNN and SVM—0
Multi-task Learning on MNIST Image Datasets—0
On Batch Adaptive Training for Deep Learning: Lower Loss and Larger Step SizeCode0
Large Scale Multi-Domain Multi-Task Learning with MultiModel—0
Fast and Accurate Inference with Adaptive Ensemble Prediction for Deep Networks—0
LEAP: Learning Embeddings for Adaptive Pace—0
CAYLEYNETS: SPECTRAL GRAPH CNNS WITH COMPLEX RATIONAL FILTERS—0
Model Specialization for Inference Via End-to-End Distillation, Pruning, and Cascades—0
Transfer Learning on Manifolds via Learned Transport Operators—0
Unsupervised Deep Structure Learning by Recursive Dependency Analysis—0
Context aware saliency map generation using semantic segmentation—0
Exploring the significance of using perceptually relevant image decolorization method for scene classification—0
The CAPIO 2017 Conversational Speech Recognition System—0
Discriminative and Geometry Aware Unsupervised Domain Adaptation—0
Large-Scale 3D Scene Classification With Multi-View Volumetric CNN—0
A Deep Learning Interpretable Classifier for Diabetic Retinopathy Disease Grading—0
Wolf in Sheep's Clothing - The Downscaling Attack Against Deep Learning Applications—0
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition—0
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted LabelsCode0
A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image ClassificationCode0
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video ClassificationCode0
The Effectiveness of Data Augmentation in Image Classification using Deep LearningCode0
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer—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