Fine-grained zero-shot or zero-shot learning
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Updated
Nov 28, 2019 - Python
Fine-grained zero-shot or zero-shot learning
knowledge transfer based fine-grained visual classification
FCLL: A Fine-grained Contrastive Language-Image Learning Model
A Java 8 implementation of a fine-grained concurrent generic Binary Search Tree
TodoMVC inspired by kentcdodds/remix-todomvc implemented with SolidStart
just a solid-js Bundle for No-Compile Environments
Segregated UI in Action with SolidJS
Fine grained reactive UI library with no-magic(explicit subscriptions, named signals/components) and first class support for HMR.
Rebuilding solidjs/solid-hackernews from the ground up (SolidJS practice)
[IEEE ICIP (2021)] Coupled Patch Similarity Network For One-Shot Fine-Grained Image Recognition
STCF: Spatial-Temporal Contrasting for Fine-Grained Urban Flow inference. IEEE Transactions on Big Data, 2023.
[CVPR' 24] The official implementation of paper "synthesize, diagnose, and optimize: towards fine-grained vision-language understanding"
A C++ static library for fine-grain profiling MPI programs.
The official repo for the technical report "FHA-Kitchens: A Novel Dataset for Fine-Grained Hand Action Recognition in Kitchen Scenes"
A toy project to re-implement SolidJS from scratch
Basic client rendered notes app using SolidStart beta
A minimal reactivity solution sans compiling or bundling, allowing SPAs to be built without compilers, bundlers or even NPM.
Code release for "Making a Bird AI Expert Work for You and Me (TPAMI 2023)".
Open source deep learning based fine-grained image recognition toolbox built on PyTorch🔥
A C++ implementation of the Smith - Waterman algorithm. The system consists of 3 different implementations: the one is sequential, while the other two parallelize the execution in a coarse and a fine level respectively, with the use of multithreading.
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