View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (14)

[1]
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization
2019Xiaohan Ding, Guiguang Ding et al.
[2]
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
2019Mihai Dusmanu, Ignacio Rocco et al.
[3]
Improving Image Classification Robustness through Selective CNN-Filters Fine-Tuning
2019Alessandro Bianchi, Moreno Raimondo Vendra et al.
[4]
A survey of the recent architectures of deep convolutional neural networks
2019Asifullah Khan, A. Sohail et al.
[5]
Dynamic Channel Pruning: Feature Boosting and Suppression
2018Xitong Gao, Yiren Zhao et al.
[6]
Progressive Deep Neural Networks Acceleration via Soft Filter Pruning
2018Yang He, Xuanyi Dong et al.
[7]
Learning Efficient Object Detection Models with Knowledge Distillation
2017Guobin Chen, Wongun Choi et al.
[8]
Pruning Filters for Efficient ConvNets
2016Hao Li, Asim Kadav et al.
[9]
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
2016Hengyuan Hu, Rui Peng et al.
[10]
An Introduction to Convolutional Neural Networks
2015K. O’Shea, Ryan Nash
[11]
LocNet: Improving Localization Accuracy for Object Detection
2015Spyros Gidaris, N. Komodakis
[12]
Channel-Level Acceleration of Deep Face Representations
2015Adam Polyak, Lior Wolf
[13]
Very Deep Convolutional Networks for Large-Scale Image Recognition
2014K. Simonyan, Andrew Zisserman
[14]
Several image processing examples by CNN
1990T. Matsumoto, T. Yokohama et al.

Founder's Pitch

"A modular framework for accelerating CNNs through innovative pruning techniques."

AI AccelerationScore: 5View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

Quick Build

4/4 signals

10

Series A Potential

1/4 signals

2.5

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/19/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.