User contributions for X46peng
Jump to navigation
Jump to search
12 November 2018
- 23:4523:45, 12 November 2018 diff hist −1 Searching For Efficient Multi Scale Architectures For Dense Image Prediction →Cell/Block
- 23:4523:45, 12 November 2018 diff hist −1 Searching For Efficient Multi Scale Architectures For Dense Image Prediction →Cell/Block
- 23:4523:45, 12 November 2018 diff hist −1 Searching For Efficient Multi Scale Architectures For Dense Image Prediction →Multi-branch networks
- 23:4523:45, 12 November 2018 diff hist −4 Searching For Efficient Multi Scale Architectures For Dense Image Prediction →Chain-structured neural networks
- 23:4323:43, 12 November 2018 diff hist −5 Searching For Efficient Multi Scale Architectures For Dense Image Prediction →NAS Overview
- 23:4023:40, 12 November 2018 diff hist −5 Searching For Efficient Multi Scale Architectures For Dense Image Prediction →Related Work
- 23:3923:39, 12 November 2018 diff hist +6 Searching For Efficient Multi Scale Architectures For Dense Image Prediction →Introduction
- 13:2313:23, 12 November 2018 diff hist −16 stat946F18 No edit summary
10 November 2018
- 20:1320:13, 10 November 2018 diff hist +397 MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION →Critique
- 19:3919:39, 10 November 2018 diff hist +387 Zero-Shot Visual Imitation →Discussion
- 14:0014:00, 10 November 2018 diff hist +587 Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data →Method
- 13:4513:45, 10 November 2018 diff hist +292 Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data →Method
6 November 2018
- 12:3512:35, 6 November 2018 diff hist −2 Going Deeper with Convolutions →References
- 12:3312:33, 6 November 2018 diff hist +4 Going Deeper with Convolutions →References
- 12:3112:31, 6 November 2018 diff hist −9 Going Deeper with Convolutions No edit summary
- 12:3012:30, 6 November 2018 diff hist +2 Going Deeper with Convolutions No edit summary
- 12:3012:30, 6 November 2018 diff hist +94 Going Deeper with Convolutions No edit summary
- 12:2812:28, 6 November 2018 diff hist +126 Going Deeper with Convolutions →ILSVRC 2014 Challenge Results
- 12:1812:18, 6 November 2018 diff hist +218 Going Deeper with Convolutions No edit summary
- 12:1612:16, 6 November 2018 diff hist 0 N File:Detection performance.JPG No edit summary current
- 12:1512:15, 6 November 2018 diff hist 0 N File:Classification performance.JPG No edit summary current
- 12:1312:13, 6 November 2018 diff hist +158 Going Deeper with Convolutions →Model Architecture
- 12:1112:11, 6 November 2018 diff hist +80 Going Deeper with Convolutions No edit summary
- 12:0812:08, 6 November 2018 diff hist 0 N File:Inception module with dimension reductions.JPG No edit summary current
- 12:0812:08, 6 November 2018 diff hist 0 N File:Inception module, naıve version.JPG No edit summary current
- 12:0312:03, 6 November 2018 diff hist +438 Going Deeper with Convolutions No edit summary
- 12:0112:01, 6 November 2018 diff hist −1,732 Going Deeper with Convolutions No edit summary
- 11:5911:59, 6 November 2018 diff hist −2 Going Deeper with Convolutions →Conclusion:
- 11:5911:59, 6 November 2018 diff hist −1 Going Deeper with Convolutions →ILSVRC 2014 Challenge Results:
- 11:5811:58, 6 November 2018 diff hist −1 Going Deeper with Convolutions →Model Architecture:
- 11:5811:58, 6 November 2018 diff hist −2,165 Going Deeper with Convolutions No edit summary
- 11:5411:54, 6 November 2018 diff hist +11,398 N Going Deeper with Convolutions Created page with "== Introduction == This paper presents a deep convolutional neural network architecture codenamed Inception. This newly designed architecture enhance the utilization of the c..."
- 11:5011:50, 6 November 2018 diff hist +96 stat441F18 No edit summary
- 11:4511:45, 6 November 2018 diff hist 0 stat441F18 →Paper presentation
- 11:4311:43, 6 November 2018 diff hist 0 stat441F18 No edit summary
29 October 2018
- 14:3214:32, 29 October 2018 diff hist +711 DeepVO Towards end to end visual odometry with deep RNN T: added more contributions of the paper to the conclusion
- 14:2114:21, 29 October 2018 diff hist −24 DeepVO Towards end to end visual odometry with deep RNN E: corrected grammatical errors in related work
- 14:1614:16, 29 October 2018 diff hist −4 DeepVO Towards end to end visual odometry with deep RNN E: misused words in related work
- 14:1114:11, 29 October 2018 diff hist +53 DeepVO Towards end to end visual odometry with deep RNN E: unclear methods in related work
25 October 2018
- 15:5415:54, 25 October 2018 diff hist +74 stat441F18 →Paper presentation
24 October 2018
- 21:3921:39, 24 October 2018 diff hist +1,023 End to end Active Object Tracking via Reinforcement Learning Added model limitation to the critique and more examples in future work
15 October 2018
- 16:2316:23, 15 October 2018 diff hist +46 stat946F18 →Paper presentation
- 16:2116:21, 15 October 2018 diff hist +70 stat946F18 →Paper presentation
12 October 2018
- 14:0514:05, 12 October 2018 diff hist +39 stat441F18 →Paper presentation
- 14:0514:05, 12 October 2018 diff hist +23 stat441F18 No edit summary
8 October 2018
- 23:3623:36, 8 October 2018 diff hist +971 F18-STAT946-Proposal No edit summary
7 October 2018
- 18:5318:53, 7 October 2018 diff hist +239 F18-STAT841-Proposal No edit summary
- 18:5118:51, 7 October 2018 diff hist +205 F18-STAT841-Proposal No edit summary
- 18:4918:49, 7 October 2018 diff hist +1,162 F18-STAT841-Proposal No edit summary
2 October 2018
- 13:0813:08, 2 October 2018 diff hist +11 m stat946F18 →Paper presentation