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 9701–9750 of 10420 papers

TitleStatusHype
Image classification network enhancement methods based on knowledge injection—0
Image Classification of Grapevine Buds using Scale-Invariant Features Transform, Bag of Features and Support Vector Machines—0
Image Classification of Stroke Blood Clot Origin using Deep Convolutional Neural Networks and Visual Transformers—0
Image Classification on Accelerated Neural Networks—0
Image Classification on IoT Edge Devices: Profiling and Modeling—0
Image Classification Using a Diffusion Model as a Pre-Training Model—0
Image Classification using CNN for Traffic Signs in Pakistan—0
Image Classification using Combination of Topological Features and Neural Networks—0
Image Classification using Fuzzy Pooling in Convolutional Kolmogorov-Arnold Networks—0
Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels—0
Image classification using local tensor singular value decompositions—0
Image classification using quantum inference on the D-Wave 2X—0
Image Classification using Sequence of Pixels—0
Image Classification via Quantum Machine Learning—0
Image Classification with A Deep Network Model based on Compressive Sensing—0
Image Classification with Consistent Supporting Evidence—0
Image Classification with Deep Reinforcement Active Learning—0
Image Classification with Rejection using Contextual Information—0
Image Classification with Rotation-Invariant Variational Quantum Circuits—0
Image Class Translation Distance: A Novel Interpretable Feature for Image Classification—0
Image Colorization By Capsule Networks—0
Image Colorization Using a Deep Convolutional Neural Network—0
Image Compression and Classification Using Qubits and Quantum Deep Learning—0
Image Credibility Analysis with Effective Domain Transferred Deep Networks—0
Image Data Augmentation for Deep Learning: A Survey—0
Image edge enhancement for effective image classification—0
ImageEye: Batch Image Processing Using Program Synthesis—0
Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance—0
Image Labeling on a Network: Using Social-Network Metadata for Image Classification—0
Image Matters: Scalable Detection of Offensive and Non-Compliant Content / Logo in Product Images—0
Image Moment Invariants to Rotational Motion Blur—0
ImageNet MPEG-7 Visual Descriptors - Technical Report—0
Image quality assessment for machine learning tasks using meta-reinforcement learning—0
Image Quality Is Not All You Want: Task-Driven Lens Design for Image Classification—0
Image Recognition using Region Creep—0
Image Retrieval And Classification Using Local Feature Vectors—0
Image Retrieval based on Bag-of-Words model—0
Image Retrieval with Fisher Vectors of Binary Features—0
Image Segmentation Using Overlapping Group Sparsity—0
Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation—0
ImageTTR: Grounding Type Theory with Records in Image Classification for Visual Question Answering—0
Imaging with Equivariant Deep Learning—0
IM: An R-Package for Computation of Image Moments and Moment Invariants—0
Imbalanced Classification in Medical Imaging via Regrouping—0
Imbalanced Malware Images Classification: a CNN based Approach—0
StackMix: A complementary Mix algorithm—0
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification—0
IM-Loss: Information Maximization Loss for Spiking Neural Networks—0
Immuno-mimetic Deep Neural Networks (Immuno-Net)—0
Impact of Aliasing on Generalization in Deep Convolutional Networks—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