Triple
T3520348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VGG |
E74406
|
entity |
| Predicate | describedInPaper |
P519
|
FINISHED |
| Object |
Very Deep Convolutional Networks for Large-Scale Image Recognition
"Very Deep Convolutional Networks for Large-Scale Image Recognition" is the influential 2014 research paper that introduced the VGG family of deep convolutional neural network architectures, demonstrating that significantly increasing network depth with small convolutional filters leads to substantial improvements in image classification performance.
|
E366102
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69ad85d0c5488190a3d8e02ebd01a1aa |
elicitation | completed |
| NER | batch_69adbc4af70c8190a7471f28e1efd7fd |
ner | completed |
| NED1 | batch_69b37e848d1c8190b100cb2e1218afbb |
ned_source_triple | completed |
| NED2 | batch_69b38078bc288190b69d73a64acce8ca |
ned_description | completed |
| NEDg | batch_69b37f07ab70819089fdb7083b81b992 |
nedg | completed |
Created at: March 8, 2026, 3:19 p.m.