Create hypersphere_convergence.txt
Browse files- hypersphere_convergence.txt +397 -0
hypersphere_convergence.txt
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| 1 |
+
======================================================================
|
| 2 |
+
GEOLIP HYPERSPHERE STRUCTURAL ANALYSIS
|
| 3 |
+
Checkpoint: checkpoints/dual_stream_best.pt
|
| 4 |
+
Device: cuda
|
| 5 |
+
======================================================================
|
| 6 |
+
|
| 7 |
+
Loading checkpoint...
|
| 8 |
+
mAP=0.838 epoch=17
|
| 9 |
+
D_ANCHOR=256 N_ANCHORS=512 N_EXPERTS=3
|
| 10 |
+
Anchors: torch.Size([512, 256])
|
| 11 |
+
Expert rotations: N/A (dual-stream — perspectives in projectors)
|
| 12 |
+
|
| 13 |
+
Loading expert features...
|
| 14 |
+
Generating embeddings...
|
| 15 |
+
Embeddings: torch.Size([5000, 256])
|
| 16 |
+
|
| 17 |
+
======================================================================
|
| 18 |
+
SCAN 1: ANCHOR GEOMETRY
|
| 19 |
+
======================================================================
|
| 20 |
+
Pairwise cosine:
|
| 21 |
+
mean=0.0001 std=0.0442
|
| 22 |
+
max=0.5800 min=-0.5539
|
| 23 |
+
Max neighbor cosine per anchor:
|
| 24 |
+
mean=0.2330 std=0.0823
|
| 25 |
+
max=0.5800 min=0.1204
|
| 26 |
+
pairs with cos > 0.9: 0 (0.00%)
|
| 27 |
+
pairs with cos > 0.8: 0 (0.00%)
|
| 28 |
+
pairs with cos > 0.7: 0 (0.00%)
|
| 29 |
+
pairs with cos > 0.5: 3 (0.00%)
|
| 30 |
+
pairs with cos > 0.3: 47 (0.04%)
|
| 31 |
+
pairs with cos > 0.0: 64430 (49.25%)
|
| 32 |
+
|
| 33 |
+
Anchor spectral:
|
| 34 |
+
effective rank: 256.0/256
|
| 35 |
+
sv_max=1.4151 sv_10=1.4146 sv_50=1.4145 sv_min=1.413725
|
| 36 |
+
top-10 SVs explain 3.9%
|
| 37 |
+
top-25 SVs explain 9.8%
|
| 38 |
+
top-50 SVs explain 19.5%
|
| 39 |
+
top-100 SVs explain 39.1%
|
| 40 |
+
top-128 SVs explain 50.0%
|
| 41 |
+
top-200 SVs explain 78.1%
|
| 42 |
+
|
| 43 |
+
Anchor pentachoron CV: 0.0286
|
| 44 |
+
mean_vol=0.092596 std_vol=0.002649
|
| 45 |
+
|
| 46 |
+
======================================================================
|
| 47 |
+
SCAN 2: ANCHOR UTILIZATION
|
| 48 |
+
======================================================================
|
| 49 |
+
Active anchors: 201/512 (39.3%)
|
| 50 |
+
Visit counts: mean=9.8 std=25.6
|
| 51 |
+
max=264 min=1 (among active)
|
| 52 |
+
top 10: [np.float32(264.0), np.float32(194.0), np.float32(161.0), np.float32(140.0), np.float32(129.0), np.float32(114.0), np.float32(111.0), np.float32(103.0), np.float32(96.0), np.float32(90.0)]
|
| 53 |
+
Entropy: 4.5776 / 6.2383 (73.4%)
|
| 54 |
+
Gini coefficient: 0.8568 (0=equal, 1=one anchor gets all)
|
| 55 |
+
anchors with 1-5 visits: 66
|
| 56 |
+
anchors with 5-20 visits: 64
|
| 57 |
+
anchors with 20-50 visits: 39
|
| 58 |
+
anchors with 50-100 visits: 24
|
| 59 |
+
anchors with 100-500 visits: 8
|
| 60 |
+
anchors with 500-5000 visits: 0
|
| 61 |
+
|
| 62 |
+
======================================================================
|
| 63 |
+
SCAN 3: EMBEDDING MANIFOLD GEOMETRY
|
| 64 |
+
======================================================================
|
| 65 |
+
Effective dimensionality: 71.6/256
|
| 66 |
+
top-5 SVs explain 33.5%
|
| 67 |
+
top-10 SVs explain 51.1%
|
| 68 |
+
top-20 SVs explain 72.6%
|
| 69 |
+
top-50 SVs explain 94.2%
|
| 70 |
+
top-100 SVs explain 99.4%
|
| 71 |
+
top-128 SVs explain 99.8%
|
| 72 |
+
top-200 SVs explain 100.0%
|
| 73 |
+
|
| 74 |
+
Self-similarity (off-diagonal):
|
| 75 |
+
mean=0.0025 std=0.1920
|
| 76 |
+
max=0.9931 min=-0.5248
|
| 77 |
+
|
| 78 |
+
Norms: mean=1.000000 std=0.000000
|
| 79 |
+
|
| 80 |
+
Global pentachoron CV: 0.2199
|
| 81 |
+
mean_vol=0.080570 std_vol=0.017715
|
| 82 |
+
|
| 83 |
+
======================================================================
|
| 84 |
+
SCAN 4: EXPERT PERSPECTIVE DIVERGENCE
|
| 85 |
+
======================================================================
|
| 86 |
+
|
| 87 |
+
Per-image expert agreement:
|
| 88 |
+
clip_l14_openai × dinov2_b14 : mean=1.0000 std=0.0000 min=1.0000
|
| 89 |
+
clip_l14_openai × siglip_b16_384 : mean=1.0000 std=0.0000 min=1.0000
|
| 90 |
+
dinov2_b14 × siglip_b16_384 : mean=1.0000 std=0.0000 min=1.0000
|
| 91 |
+
|
| 92 |
+
Per-anchor expert divergence:
|
| 93 |
+
mean divergence: 0.0000 std: 0.0000
|
| 94 |
+
max divergence: 0.0000 (anchor 0)
|
| 95 |
+
min divergence: 0.0000 (anchor 0)
|
| 96 |
+
|
| 97 |
+
Top 10 most contentious anchors:
|
| 98 |
+
#1 anchor 39: div=0.0000 visits=0
|
| 99 |
+
#2 anchor 38: div=0.0000 visits=0
|
| 100 |
+
#3 anchor 37: div=0.0000 visits=0
|
| 101 |
+
#4 anchor 36: div=0.0000 visits=0
|
| 102 |
+
#5 anchor 35: div=0.0000 visits=0
|
| 103 |
+
#6 anchor 34: div=0.0000 visits=0
|
| 104 |
+
#7 anchor 33: div=0.0000 visits=0
|
| 105 |
+
#8 anchor 32: div=0.0000 visits=2
|
| 106 |
+
#9 anchor 47: div=0.0000 visits=0
|
| 107 |
+
#10 anchor 46: div=0.0000 visits=1
|
| 108 |
+
|
| 109 |
+
Top 10 most unanimous anchors:
|
| 110 |
+
#1 anchor 504: div=0.0000 visits=0
|
| 111 |
+
#2 anchor 505: div=0.0000 visits=2
|
| 112 |
+
#3 anchor 506: div=0.0000 visits=27
|
| 113 |
+
#4 anchor 507: div=0.0000 visits=17
|
| 114 |
+
#5 anchor 508: div=0.0000 visits=4
|
| 115 |
+
#6 anchor 509: div=0.0000 visits=0
|
| 116 |
+
#7 anchor 510: div=0.0000 visits=0
|
| 117 |
+
#8 anchor 511: div=0.0000 visits=0
|
| 118 |
+
#9 anchor 496: div=0.0000 visits=0
|
| 119 |
+
#10 anchor 497: div=0.0000 visits=0
|
| 120 |
+
|
| 121 |
+
Expert rotation eigenspectra:
|
| 122 |
+
clip_l14_openai : ortho_err=0.000000 eval_min=1.0000 eval_max=1.0000
|
| 123 |
+
dinov2_b14 : ortho_err=0.000000 eval_min=1.0000 eval_max=1.0000
|
| 124 |
+
siglip_b16_384 : ortho_err=0.000000 eval_min=1.0000 eval_max=1.0000
|
| 125 |
+
|
| 126 |
+
Expert whitener condition:
|
| 127 |
+
clip_l14_openai : cond=1.00 sv_max=1.0000 sv_min=1.000000
|
| 128 |
+
dinov2_b14 : cond=1.00 sv_max=1.0000 sv_min=1.000000
|
| 129 |
+
siglip_b16_384 : cond=1.00 sv_max=1.0000 sv_min=1.000000
|
| 130 |
+
|
| 131 |
+
======================================================================
|
| 132 |
+
SCAN 5: NEAREST ANCHOR DISTANCES
|
| 133 |
+
======================================================================
|
| 134 |
+
k= 0: mean_dist=0.5721 std=0.0978 max=0.8074 min=0.2505
|
| 135 |
+
k= 1: mean_dist=0.6521 std=0.0692 max=0.8282 min=0.4311
|
| 136 |
+
k= 2: mean_dist=0.6931 std=0.0559 max=0.8344 min=0.5052
|
| 137 |
+
k= 4: mean_dist=0.7466 std=0.0436 max=0.8548 min=0.5865
|
| 138 |
+
k= 9: mean_dist=0.8172 std=0.0243 max=0.8985 min=0.7391
|
| 139 |
+
k= 19: mean_dist=0.8814 std=0.0183 max=0.9495 min=0.8327
|
| 140 |
+
k= 49: mean_dist=0.9374 std=0.0132 max=0.9738 min=0.9056
|
| 141 |
+
k= 99: mean_dist=0.9671 std=0.0084 max=0.9896 min=0.9445
|
| 142 |
+
anchors with cos > 0.9: mean=0.0 max=0 min=0
|
| 143 |
+
anchors with cos > 0.8: mean=0.0 max=0 min=0
|
| 144 |
+
anchors with cos > 0.7: mean=0.0 max=1 min=0
|
| 145 |
+
anchors with cos > 0.5: mean=0.3 max=2 min=0
|
| 146 |
+
anchors with cos > 0.3: mean=2.7 max=8 min=0
|
| 147 |
+
anchors with cos > 0.0: mean=227.2 max=284 min=148
|
| 148 |
+
|
| 149 |
+
======================================================================
|
| 150 |
+
SCAN 6: PER-CLASS ANCHOR AFFINITY
|
| 151 |
+
======================================================================
|
| 152 |
+
Anchor specialization:
|
| 153 |
+
classes per active anchor: mean=12.8 std=9.4
|
| 154 |
+
max=40 min=1
|
| 155 |
+
|
| 156 |
+
Class spread (anchors per class):
|
| 157 |
+
mean=32.2 std=28.8
|
| 158 |
+
max=170 (person)
|
| 159 |
+
min=2 (bear)
|
| 160 |
+
|
| 161 |
+
Top 10 by anchor spread:
|
| 162 |
+
person : 170 anchors, 2693 images
|
| 163 |
+
chair : 105 anchors, 580 images
|
| 164 |
+
car : 98 anchors, 535 images
|
| 165 |
+
bottle : 85 anchors, 379 images
|
| 166 |
+
dining table : 84 anchors, 501 images
|
| 167 |
+
handbag : 81 anchors, 292 images
|
| 168 |
+
cup : 80 anchors, 390 images
|
| 169 |
+
backpack : 76 anchors, 228 images
|
| 170 |
+
truck : 66 anchors, 250 images
|
| 171 |
+
book : 65 anchors, 230 images
|
| 172 |
+
Bottom 10 by anchor spread:
|
| 173 |
+
sheep : 6 anchors, 65 images
|
| 174 |
+
tennis racket : 5 anchors, 167 images
|
| 175 |
+
giraffe : 5 anchors, 101 images
|
| 176 |
+
hair drier : 4 anchors, 9 images
|
| 177 |
+
toaster : 4 anchors, 8 images
|
| 178 |
+
baseball glove : 4 anchors, 100 images
|
| 179 |
+
elephant : 4 anchors, 89 images
|
| 180 |
+
skis : 4 anchors, 120 images
|
| 181 |
+
zebra : 3 anchors, 85 images
|
| 182 |
+
bear : 2 anchors, 49 images
|
| 183 |
+
|
| 184 |
+
======================================================================
|
| 185 |
+
SCAN 7: INTER-CLASS GEOMETRIC DISTANCES
|
| 186 |
+
======================================================================
|
| 187 |
+
Inter-class cosine (78 classes with >10 images):
|
| 188 |
+
mean=0.0531
|
| 189 |
+
max=0.9947 min=-0.4158
|
| 190 |
+
|
| 191 |
+
Most similar class pairs:
|
| 192 |
+
#1: mouse × keyboard cos=0.9947
|
| 193 |
+
#2: baseball bat × baseball glove cos=0.9905
|
| 194 |
+
#3: microwave × refrigerator cos=0.9783
|
| 195 |
+
#4: spoon × bowl cos=0.9757
|
| 196 |
+
#5: skis × snowboard cos=0.9707
|
| 197 |
+
#6: microwave × oven cos=0.9615
|
| 198 |
+
#7: knife × dining table cos=0.9582
|
| 199 |
+
#8: cup × dining table cos=0.9580
|
| 200 |
+
#9: laptop × keyboard cos=0.9577
|
| 201 |
+
#10: fork × knife cos=0.9565
|
| 202 |
+
#11: laptop × mouse cos=0.9531
|
| 203 |
+
#12: oven × refrigerator cos=0.9510
|
| 204 |
+
#13: knife × spoon cos=0.9489
|
| 205 |
+
#14: apple × orange cos=0.9461
|
| 206 |
+
#15: broccoli × carrot cos=0.9433
|
| 207 |
+
|
| 208 |
+
Most distant class pairs:
|
| 209 |
+
#1: person × zebra cos=-0.4158
|
| 210 |
+
#2: person × giraffe cos=-0.3890
|
| 211 |
+
#3: airplane × bottle cos=-0.3845
|
| 212 |
+
#4: snowboard × potted plant cos=-0.3742
|
| 213 |
+
#5: snowboard × chair cos=-0.3692
|
| 214 |
+
#6: snowboard × vase cos=-0.3677
|
| 215 |
+
#7: bench × toothbrush cos=-0.3641
|
| 216 |
+
#8: skis × potted plant cos=-0.3635
|
| 217 |
+
#9: truck × toothbrush cos=-0.3629
|
| 218 |
+
#10: bird × bottle cos=-0.3616
|
| 219 |
+
#11: airplane × cup cos=-0.3575
|
| 220 |
+
#12: car × toothbrush cos=-0.3572
|
| 221 |
+
#13: skis × vase cos=-0.3550
|
| 222 |
+
#14: skis × chair cos=-0.3484
|
| 223 |
+
#15: horse × bottle cos=-0.3445
|
| 224 |
+
|
| 225 |
+
Intra-class spread:
|
| 226 |
+
Tightest 10:
|
| 227 |
+
giraffe : spread=0.0566 (n=101)
|
| 228 |
+
zebra : spread=0.0626 (n=85)
|
| 229 |
+
tennis racket : spread=0.0785 (n=167)
|
| 230 |
+
baseball glove : spread=0.0871 (n=100)
|
| 231 |
+
skis : spread=0.0880 (n=120)
|
| 232 |
+
elephant : spread=0.1058 (n=89)
|
| 233 |
+
snowboard : spread=0.1145 (n=49)
|
| 234 |
+
skateboard : spread=0.1188 (n=127)
|
| 235 |
+
surfboard : spread=0.1377 (n=149)
|
| 236 |
+
baseball bat : spread=0.1512 (n=97)
|
| 237 |
+
Loosest 10:
|
| 238 |
+
potted plant : spread=0.5553 (n=172)
|
| 239 |
+
umbrella : spread=0.5566 (n=174)
|
| 240 |
+
cup : spread=0.5587 (n=390)
|
| 241 |
+
car : spread=0.5765 (n=535)
|
| 242 |
+
bottle : spread=0.6014 (n=379)
|
| 243 |
+
handbag : spread=0.6207 (n=292)
|
| 244 |
+
bench : spread=0.6600 (n=235)
|
| 245 |
+
chair : spread=0.6621 (n=580)
|
| 246 |
+
backpack : spread=0.6764 (n=228)
|
| 247 |
+
person : spread=0.8186 (n=2693)
|
| 248 |
+
|
| 249 |
+
======================================================================
|
| 250 |
+
SCAN 8: LOCAL PENTACHORON CV
|
| 251 |
+
======================================================================
|
| 252 |
+
Clusters with 10+ members: 102
|
| 253 |
+
Local CV: mean=0.4302 std=0.1654
|
| 254 |
+
max=1.0834 min=0.1965
|
| 255 |
+
Global CV: 0.2199
|
| 256 |
+
Ratio (local/global): 1.9564
|
| 257 |
+
|
| 258 |
+
Highest local CV (most diverse clusters):
|
| 259 |
+
anchor 86: CV=1.0834 n= 103 mean_vol=0.002920
|
| 260 |
+
anchor 469: CV=0.8698 n= 89 mean_vol=0.000587
|
| 261 |
+
anchor 364: CV=0.8659 n= 194 mean_vol=0.007823
|
| 262 |
+
anchor 175: CV=0.8403 n= 88 mean_vol=0.001932
|
| 263 |
+
anchor 68: CV=0.8222 n= 161 mean_vol=0.000757
|
| 264 |
+
anchor 220: CV=0.7987 n= 114 mean_vol=0.001308
|
| 265 |
+
anchor 437: CV=0.7678 n= 129 mean_vol=0.001834
|
| 266 |
+
anchor 498: CV=0.7410 n= 78 mean_vol=0.001262
|
| 267 |
+
anchor 205: CV=0.6792 n= 48 mean_vol=0.001457
|
| 268 |
+
anchor 339: CV=0.6555 n= 11 mean_vol=0.003612
|
| 269 |
+
Lowest local CV (most uniform clusters):
|
| 270 |
+
anchor 361: CV=0.2631 n= 41 mean_vol=0.012367
|
| 271 |
+
anchor 254: CV=0.2615 n= 32 mean_vol=0.019875
|
| 272 |
+
anchor 155: CV=0.2565 n= 34 mean_vol=0.017756
|
| 273 |
+
anchor 53: CV=0.2527 n= 12 mean_vol=0.025066
|
| 274 |
+
anchor 479: CV=0.2503 n= 43 mean_vol=0.021270
|
| 275 |
+
anchor 157: CV=0.2354 n= 11 mean_vol=0.031356
|
| 276 |
+
anchor 289: CV=0.2137 n= 18 mean_vol=0.018227
|
| 277 |
+
anchor 430: CV=0.2126 n= 15 mean_vol=0.041118
|
| 278 |
+
anchor 486: CV=0.2002 n= 11 mean_vol=0.016117
|
| 279 |
+
anchor 131: CV=0.1965 n= 14 mean_vol=0.030370
|
| 280 |
+
|
| 281 |
+
======================================================================
|
| 282 |
+
SCAN 9: PROJECTOR ANALYSIS
|
| 283 |
+
======================================================================
|
| 284 |
+
|
| 285 |
+
clip_l14_openai:
|
| 286 |
+
self-sim: mean=0.0538 std=0.1757
|
| 287 |
+
eff_dim: 76.3/256
|
| 288 |
+
cos→fused: mean=0.9160 std=0.0323
|
| 289 |
+
|
| 290 |
+
dinov2_b14:
|
| 291 |
+
self-sim: mean=0.1254 std=0.1798
|
| 292 |
+
eff_dim: 74.5/256
|
| 293 |
+
cos→fused: mean=0.8665 std=0.0459
|
| 294 |
+
|
| 295 |
+
siglip_b16_384:
|
| 296 |
+
self-sim: mean=0.0332 std=0.1800
|
| 297 |
+
eff_dim: 76.3/256
|
| 298 |
+
cos→fused: mean=0.9303 std=0.0284
|
| 299 |
+
|
| 300 |
+
Cross-expert agreement (projected):
|
| 301 |
+
clip_l14_openai × dinov2_b14 : cos=0.6581 std=0.1092
|
| 302 |
+
clip_l14_openai × siglip_b16_384 : cos=0.8297 std=0.0749
|
| 303 |
+
dinov2_b14 × siglip_b16_384 : cos=0.6966 std=0.1019
|
| 304 |
+
|
| 305 |
+
Expert uniqueness (leave-one-out):
|
| 306 |
+
Without clip_l14_openai : cos_to_full=0.9756 (uniqueness=0.0244)
|
| 307 |
+
Without dinov2_b14 : cos_to_full=0.9652 (uniqueness=0.0348)
|
| 308 |
+
Without siglip_b16_384 : cos_to_full=0.9791 (uniqueness=0.0209)
|
| 309 |
+
|
| 310 |
+
======================================================================
|
| 311 |
+
SCAN 9.5: DUAL-STREAM ANALYSIS
|
| 312 |
+
======================================================================
|
| 313 |
+
|
| 314 |
+
Shared × Native cosine per expert:
|
| 315 |
+
clip_l14_openai : mean=0.3337 std=0.0146 min=0.2898 max=0.4650
|
| 316 |
+
dinov2_b14 : mean=0.3576 std=0.0256 min=0.2771 max=0.5046
|
| 317 |
+
siglip_b16_384 : mean=0.3503 std=0.0191 min=0.2433 max=0.4444
|
| 318 |
+
|
| 319 |
+
Displacement (shared - native):
|
| 320 |
+
clip_l14_openai : L2_mean=1.1543 std=0.0127
|
| 321 |
+
dinov2_b14 : L2_mean=1.1332 std=0.0228
|
| 322 |
+
siglip_b16_384 : L2_mean=1.1398 std=0.0168
|
| 323 |
+
|
| 324 |
+
Native effective dimensionality:
|
| 325 |
+
clip_l14_openai : eff_dim=71.3/256
|
| 326 |
+
dinov2_b14 : eff_dim=62.4/256
|
| 327 |
+
siglip_b16_384 : eff_dim=62.8/256
|
| 328 |
+
|
| 329 |
+
Cross-expert native agreement:
|
| 330 |
+
clip_l14_openai × dinov2_b14 : mean=0.2059 std=0.0037
|
| 331 |
+
clip_l14_openai × siglip_b16_384 : mean=0.2078 std=0.0041
|
| 332 |
+
dinov2_b14 × siglip_b16_384 : mean=0.7933 std=0.0048
|
| 333 |
+
|
| 334 |
+
Shared × Other's Native (cross-stream):
|
| 335 |
+
clip_l14_ope_shared × dinov2_b14 _native: mean=0.1277
|
| 336 |
+
clip_l14_ope_shared × siglip_b16_3_native: mean=0.2346
|
| 337 |
+
dinov2_b14_shared × clip_l14_ope_native: mean=0.0136
|
| 338 |
+
dinov2_b14_shared × siglip_b16_3_native: mean=0.2824
|
| 339 |
+
siglip_b16_3_shared × clip_l14_ope_native: mean=0.2211
|
| 340 |
+
siglip_b16_3_shared × dinov2_b14 _native: mean=0.1836
|
| 341 |
+
|
| 342 |
+
Native triangulation divergence from shared:
|
| 343 |
+
clip_l14_openai : tri_cos=0.2093 tri_diff=0.0572
|
| 344 |
+
dinov2_b14 : tri_cos=0.2464 tri_diff=0.0573
|
| 345 |
+
siglip_b16_384 : tri_cos=0.3196 tri_diff=0.0553
|
| 346 |
+
|
| 347 |
+
Native pairwise triangulation correlation:
|
| 348 |
+
clip_l14_openai × dinov2_b14 : mean=0.2059 std=0.0037
|
| 349 |
+
clip_l14_openai × siglip_b16_384 : mean=0.2078 std=0.0041
|
| 350 |
+
dinov2_b14 × siglip_b16_384 : mean=0.7933 std=0.0048
|
| 351 |
+
|
| 352 |
+
Information content:
|
| 353 |
+
Shared tri eff_dim: 71.6
|
| 354 |
+
Combined eff_dim: 126.2
|
| 355 |
+
Info gain from native: +54.5 dims
|
| 356 |
+
|
| 357 |
+
======================================================================
|
| 358 |
+
SCAN 10: TRIANGULATION STRUCTURE
|
| 359 |
+
======================================================================
|
| 360 |
+
|
| 361 |
+
clip_l14_openai triangulation:
|
| 362 |
+
mean=0.9993 std=0.0625
|
| 363 |
+
min=0.2505 max=1.3152
|
| 364 |
+
nearest: mean=0.5721 std=0.0978
|
| 365 |
+
|
| 366 |
+
dinov2_b14 triangulation:
|
| 367 |
+
mean=0.9993 std=0.0625
|
| 368 |
+
min=0.2505 max=1.3152
|
| 369 |
+
nearest: mean=0.5721 std=0.0978
|
| 370 |
+
|
| 371 |
+
siglip_b16_384 triangulation:
|
| 372 |
+
mean=0.9993 std=0.0625
|
| 373 |
+
min=0.2505 max=1.3152
|
| 374 |
+
nearest: mean=0.5721 std=0.0978
|
| 375 |
+
|
| 376 |
+
Expert triangulation correlation:
|
| 377 |
+
clip_l14_openai × dinov2_b14 : per_img_cos mean=1.0000 std=0.0000
|
| 378 |
+
clip_l14_openai × siglip_b16_384 : per_img_cos mean=1.0000 std=0.0000
|
| 379 |
+
dinov2_b14 × siglip_b16_384 : per_img_cos mean=1.0000 std=0.0000
|
| 380 |
+
|
| 381 |
+
======================================================================
|
| 382 |
+
SUMMARY
|
| 383 |
+
======================================================================
|
| 384 |
+
Checkpoint: checkpoints/dual_stream_best.pt
|
| 385 |
+
mAP: 0.838
|
| 386 |
+
Anchors: 512 × 256-d, 201 active (39%)
|
| 387 |
+
Embedding eff_dim: 71.6/256
|
| 388 |
+
Anchor eff_rank: 256.0/256
|
| 389 |
+
Global CV: 0.2199
|
| 390 |
+
Anchor CV: 0.0286
|
| 391 |
+
Local CV (mean): 0.4302
|
| 392 |
+
Utilization entropy: 73.4%
|
| 393 |
+
Utilization Gini: 0.8568
|
| 394 |
+
|
| 395 |
+
======================================================================
|
| 396 |
+
ANALYSIS COMPLETE
|
| 397 |
+
======================================================================
|